Triple

T7273666
Position Surface form Disambiguated ID Type / Status
Subject Holt Richter E161167 entity
Predicate oftenSeenWith P3100 FINISHED
Object Tim the Bear E161168 NE FINISHED

How this triple was built (2 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: Tim the Bear | Statement: [Holt Richter, oftenSeenWith, Tim the Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim the Bear
Context triple: [Holt Richter, oftenSeenWith, Tim the Bear]
  • A. Tim the Bear chosen
    Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
  • B. Ben the bear
    Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
  • C. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • D. Brisky the Bear
    Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
  • E. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0de9f48190807dd148758bad62 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e52f96008190886f6115329a07ab completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:58 p.m.