Triple

T18231144
Position Surface form Disambiguated ID Type / Status
Subject Tyrann Mathieu E436544 entity
Predicate nickname P55 FINISHED
Object Honey Badger
Honey Badger is the nickname of NFL defensive back Tyrann Mathieu, known for his aggressive, fearless playing style and playmaking ability.
 E1313825 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: Honey Badger | Statement: [Tyrann Mathieu, nickname, Honey Badger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Honey Badger
Context triple: [Tyrann Mathieu, nickname, Honey Badger]
  • A. Hyaena
    Hyaena is a 1984 studio album by British post-punk band Siouxsie and the Banshees, noted for its dark, atmospheric sound and the brief tenure of guitarist Robert Smith of The Cure.
  • B. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • C. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • D. Badger
    Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
  • E. Badger
    Badger was a nuclear test conducted by the United States as part of the Operation Upshot–Knothole series during the early Cold War era.
  • 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: Honey Badger
Triple: [Tyrann Mathieu, nickname, Honey Badger]
Generated description
Honey Badger is the nickname of NFL defensive back Tyrann Mathieu, known for his aggressive, fearless playing style and playmaking ability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Honey Badger
Target entity description: Honey Badger is the nickname of NFL defensive back Tyrann Mathieu, known for his aggressive, fearless playing style and playmaking ability.
  • A. Hyaena
    Hyaena is a 1984 studio album by British post-punk band Siouxsie and the Banshees, noted for its dark, atmospheric sound and the brief tenure of guitarist Robert Smith of The Cure.
  • B. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • C. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • D. Badger
    Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
  • E. Badger
    Badger was a nuclear test conducted by the United States as part of the Operation Upshot–Knothole series during the early Cold War era.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b3495881909f2a3f3a8db43792 completed April 19, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac66d0b08190a09a20b1f393ed4f completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad5a19208190942d0a2a92641f69 completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03adfb5e148190b96a0026a72d789b completed May 12, 2026, 10:47 p.m.
Created at: April 10, 2026, 10:33 a.m.