Triple

T22139124
Position Surface form Disambiguated ID Type / Status
Subject Honey Hunters E547110 entity
Predicate namedAfter P63 FINISHED
Object honey badger
The honey badger is a small, tough mustelid renowned for its fearless nature, thick skin, and ability to fend off much larger predators.
E1521181 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: [Honey Hunters, namedAfter, honey badger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: honey badger
Context triple: [Honey Hunters, namedAfter, honey badger]
  • A. Honey Badger
    Honey Badger is the nickname of NFL defensive back Tyrann Mathieu, known for his aggressive, fearless playing style and playmaking ability.
  • B. 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.
  • 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 fictional character appearing in the work "The Return of Ulysses."
  • E. Badger
    Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
  • 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: [Honey Hunters, namedAfter, honey badger]
Generated description
The honey badger is a small, tough mustelid renowned for its fearless nature, thick skin, and ability to fend off much larger predators.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: honey badger
Target entity description: The honey badger is a small, tough mustelid renowned for its fearless nature, thick skin, and ability to fend off much larger predators.
  • A. Honey Badger
    Honey Badger is the nickname of NFL defensive back Tyrann Mathieu, known for his aggressive, fearless playing style and playmaking ability.
  • B. 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.
  • C. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bc7ae881909798c64a4c19adad completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96f864208190911b130fae80a5dc completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97ae36248190b1f298e1a53cc08f completed May 18, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0a986ea4308190841bf3492a108192 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:32 p.m.