Triple

T2464582
Position Surface form Disambiguated ID Type / Status
Subject Theodore E55214 entity
Predicate hasShortForm P43 FINISHED
Object Teddy E190410 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: Teddy | Statement: [Theodore, hasShortForm, Teddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy
Context triple: [Theodore, hasShortForm, Teddy]
  • A. Teddy chosen
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • B. Teddy Bears
    Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
  • C. Carlton the Bear
    Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
  • D. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • E. Buddy
    Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1799b530819095d828c9d4a9dc9c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.