Triple

T130008
Position Surface form Disambiguated ID Type / Status
Subject Priscilla Chan E2633 entity
Predicate familyName P18 FINISHED
Object Chan
Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
 E14920 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: Chan | Statement: [Priscilla Chan, familyName, Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chan
Context triple: [Priscilla Chan, familyName, Chan]
  • A. Hannibal Chau
    Hannibal Chau is a flamboyant black-market dealer in kaiju organs from the film "Pacific Rim," known for his eccentric style and shady charisma.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • D. Mako Mori
    Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
  • E. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • 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: Chan
Triple: [Priscilla Chan, familyName, Chan]
Generated description
Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chan
Target entity description: Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • A. Hannibal Chau
    Hannibal Chau is a flamboyant black-market dealer in kaiju organs from the film "Pacific Rim," known for his eccentric style and shady charisma.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • D. Mako Mori
    Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
  • E. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257845c548190bfb49409988d1c57 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2a3d73bf08190b0c3dd227206cab0 completed Feb. 28, 2026, 8:14 a.m.
NEDg Description generation batch_69a2a50e4bec8190ab7e27d852460f67 completed Feb. 28, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69a2a624eaf48190a7c31047832cbf34 completed Feb. 28, 2026, 8:24 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.