Triple

T7436871
Position Surface form Disambiguated ID Type / Status
Subject Gattaca E171637 entity
Predicate producer P490 FINISHED
Object Danny DeVito E87557 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: Danny DeVito | Statement: [Gattaca, producer, Danny DeVito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny DeVito
Context triple: [Gattaca, producer, Danny DeVito]
  • A. Danny DeVito chosen
    Danny DeVito is an American actor, comedian, and filmmaker known for his distinctive stature, gravelly voice, and memorable roles in film and television spanning several decades.
  • B. John Lithgow
    John Lithgow is an American actor acclaimed for his versatile performances in film, television, and theater, known for roles ranging from the sitcom "3rd Rock from the Sun" to dramatic turns in works like "The Crown" and "Dexter."
  • C. Charles Matthau
    Charles Matthau is an American film and television director and producer, and the son of actor Walter Matthau.
  • D. Basil DeVito
    Basil DeVito is a sports executive best known for helping launch and lead the original XFL football league as its first commissioner.
  • E. Joe DeVito
    Joe DeVito is an American artist and writer best known for expanding the King Kong universe through his illustrated novel and related works.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f349399c8190b46d5882ece2e73a completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8278670bc819095bdbcc0837b6716 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:13 p.m.