Triple

T14028922
Position Surface form Disambiguated ID Type / Status
Subject Tinker Bell and the Legend of the NeverBeast E337534 entity
Predicate writer P1360 FINISHED
Object Tom Rogers E681731 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: Tom Rogers | Statement: [Tinker Bell and the Legend of the NeverBeast, writer, Tom Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Rogers
Context triple: [Tinker Bell and the Legend of the NeverBeast, writer, Tom Rogers]
  • A. Tom Rogers chosen
    Tom Rogers is an American screenwriter best known for his work on animated films and television, including Disney projects such as The Lion King 1½.
  • B. Matt Roberts
    Matt Roberts was an American guitarist best known as a founding member of the rock band 3 Doors Down.
  • C. Eric Rogers
    Eric Rogers was a British composer and conductor best known for scoring many of the "Carry On" comedy films.
  • D. Rob McCollum
    Rob McCollum is an American voice actor and writer best known for his work in English dubs of anime series and films.
  • E. Matt Rogers
    Matt Rogers is an American entrepreneur and engineer best known as the co-founder of Nest Labs, the smart home technology company behind the Nest Thermostat.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa9f8248190930954d609dee5f1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb657ab348190ab51ec0e8caa2c4f completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.