Triple

T8537243
Position Surface form Disambiguated ID Type / Status
Subject Alligator E202107 entity
Predicate hasPart P35 FINISHED
Object Karen
Karen is a character or component associated with an alligator, likely representing a notable feature, companion, or named part of that creature in a specific story or context.
 E30844 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: Karen | Statement: [Alligator, hasPart, Karen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karen
Context triple: [Alligator, hasPart, Karen]
  • A. Karen
    Karen is a common feminine given name used in many English-speaking and European countries.
  • B. Karen
    The Karen are an indigenous ethnic group of Southeast Asia, primarily living in Myanmar and Thailand, with distinct languages, cultures, and a long history of political struggle and displacement.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. Kathleen
    "Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
  • E. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • 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: Karen
Triple: [Alligator, hasPart, Karen]
Generated description
Karen is a character or component associated with an alligator, likely representing a notable feature, companion, or named part of that creature in a specific story or context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karen
Target entity description: Karen is a character or component associated with an alligator, likely representing a notable feature, companion, or named part of that creature in a specific story or context.
  • A. Karen chosen
    Karen is a common feminine given name used in many English-speaking and European countries.
  • B. Karen
    The Karen are an indigenous ethnic group of Southeast Asia, primarily living in Myanmar and Thailand, with distinct languages, cultures, and a long history of political struggle and displacement.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. Kathleen
    "Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
  • E. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • F. None of above.

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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a3f024819095d560a205ff1c75 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d8c666881908785079f059f88c8 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ec2d6608190a7732e999a05d565 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f7948cc8190b8248e59044cf4fb completed April 2, 2026, 1:30 p.m.
Created at: March 30, 2026, 6:18 p.m.