Triple

T6043639
Position Surface form Disambiguated ID Type / Status
Subject Walter Black E134610 entity
Predicate firstAppearance P795 FINISHED
Object The Beaver (2011 film) E25135 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: The Beaver (2011 film) | Statement: [Walter Black, firstAppearance, The Beaver (2011 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Beaver (2011 film)
Context triple: [Walter Black, firstAppearance, The Beaver (2011 film)]
  • A. The Beaver chosen
    The Beaver is a 2011 drama film starring Mel Gibson as a depressed man who begins communicating through a beaver hand puppet, directed by Jodie Foster.
  • B. Mr. Fox
    Mr. Fox is the clever, daring, and resourceful fox protagonist of Roald Dahl’s children’s book "Fantastic Mr. Fox," known for outwitting three cruel farmers.
  • C. Coal the Bear
    Coal the Bear is a fictional bear character, likely from a children’s story or animated series, known for appearing alongside the character Copper.
  • D. Zootopia
    Zootopia is a 2016 Disney animated film set in a modern, anthropomorphic animal city where a rookie rabbit cop and a sly fox team up to solve a major conspiracy.
  • E. The Bear
    "The Bear" is a renowned short story by William Faulkner, often celebrated as a centerpiece of his Yoknapatawpha County saga and a classic of American Southern literature.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139b44888190bfa12d19e99ee673 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.