Triple

T1407651
Position Surface form Disambiguated ID Type / Status
Subject Ted 3 (announced) E31730 entity
Predicate hasMainCharacter P1183 FINISHED
Object John Bennett E141761 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: John Bennett | Statement: [Ted 3 (announced), hasMainCharacter, John Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bennett
Context triple: [Ted 3 (announced), hasMainCharacter, John Bennett]
  • A. John Bennett chosen
    John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
  • B. Nicholas Baker
    Nicholas Baker is an alternate name associated with Niels Bohr, the pioneering Danish physicist who made foundational contributions to understanding atomic structure and quantum theory.
  • C. Nicholas Baker
    Nicholas Baker is a relatively uncommon personal name that may refer to multiple individuals across different fields rather than a single widely recognized public figure.
  • D. Edward David Burt
    Edward David Burt is a Bermudian politician who has served as the Premier of Bermuda and leader of the Progressive Labour Party.
  • E. William Osborne
    William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bf7f0c8190aee96818de6ff4a5 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae515ce1b0819089603a3e0f6b1933 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 7:59 p.m.