Triple

T17351553
Position Surface form Disambiguated ID Type / Status
Subject Toby Halbrooks E421824 entity
Predicate coFounded P104 FINISHED
Object Sailor Bear NE NERFINISHED

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: Sailor Bear | Statement: [Toby Halbrooks, coFounded, Sailor Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sailor Bear
Context triple: [Toby Halbrooks, coFounded, Sailor Bear]
  • A. Sailor Bear chosen
    Sailor Bear is a film production company known for backing independent, character-driven movies such as "Ain't Them Bodies Saints."
  • B. Straw Bear
    Straw Bear is a traditional costumed figure made of straw, central to English folk customs and revived winter festivals.
  • C. Marin the Fox
    Marin the Fox is a legendary Hearthstone minion known for summoning a treasure-filled chest for opponents that players can break open for powerful rewards.
  • D. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • E. Grampus-kun
    Grampus-kun is the official mascot character of the Japanese professional football club Nagoya Grampus, typically depicted as a friendly killer whale.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2ca0708190aae8306ec3a6f2a7 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.