Triple

T11542597
Position Surface form Disambiguated ID Type / Status
Subject Corrupted Blood incident E273708 entity
Predicate hasResearcher P28320 FINISHED
Object Nina H. Fefferman
Nina H. Fefferman is an American mathematical and epidemiological modeler known for using virtual outbreaks, such as World of Warcraft’s Corrupted Blood incident, to study real-world disease dynamics and public health responses.
E939877 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nina H. Fefferman | Statement: [Corrupted Blood incident, hasResearcher, Nina H. Fefferman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina H. Fefferman
Context triple: [Corrupted Blood incident, hasResearcher, Nina H. Fefferman]
  • A. Elizabeth J. Feinler
    Elizabeth J. Feinler is an American information scientist best known for leading early internet directory and naming services, including managing the first WHOIS and domain name registries.
  • B. Alicia Z. Rosenfeld
    Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
  • C. Pamela Mishkin
    Pamela Mishkin is an AI policy and safety researcher known for her work at OpenAI on the societal impacts and governance of advanced artificial intelligence systems.
  • D. Judith F. Marks
    Judith F. Marks is an American business executive known for her leadership roles in major industrial and technology companies, including serving as a top executive at Otis Elevator Company.
  • E. Francine R. Frankel Newman
    Francine R. Frankel Newman is a notable individual recognized for her contributions significant enough to be distinctly associated with the surname Newman.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nina H. Fefferman
Triple: [Corrupted Blood incident, hasResearcher, Nina H. Fefferman]
Generated description
Nina H. Fefferman is an American mathematical and epidemiological modeler known for using virtual outbreaks, such as World of Warcraft’s Corrupted Blood incident, to study real-world disease dynamics and public health responses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nina H. Fefferman
Target entity description: Nina H. Fefferman is an American mathematical and epidemiological modeler known for using virtual outbreaks, such as World of Warcraft’s Corrupted Blood incident, to study real-world disease dynamics and public health responses.
  • A. Elizabeth J. Feinler
    Elizabeth J. Feinler is an American information scientist best known for leading early internet directory and naming services, including managing the first WHOIS and domain name registries.
  • B. Alicia Z. Rosenfeld
    Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
  • C. Pamela Mishkin
    Pamela Mishkin is an AI policy and safety researcher known for her work at OpenAI on the societal impacts and governance of advanced artificial intelligence systems.
  • D. Judith F. Marks
    Judith F. Marks is an American business executive known for her leadership roles in major industrial and technology companies, including serving as a top executive at Otis Elevator Company.
  • E. Francine R. Frankel Newman
    Francine R. Frankel Newman is a notable individual recognized for her contributions significant enough to be distinctly associated with the surname Newman.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e09eec8190894069d86b79183d completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef12d90b608190b43fc3aa138aa856 completed April 27, 2026, 7:40 a.m.
NEDg Description generation batch_69ef354b3b3c8190b1c91dbf9c705a7d completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef5170ce9881908f2ecf3d5ada809a completed April 27, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:37 p.m.