Triple

T9111072
Position Surface form Disambiguated ID Type / Status
Subject Baggage Claim E218600 entity
Predicate productionCompany P490 FINISHED
Object Fox Searchlight Pictures E32167 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: Fox Searchlight Pictures | Statement: [Baggage Claim, productionCompany, Fox Searchlight Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox Searchlight Pictures
Context triple: [Baggage Claim, productionCompany, Fox Searchlight Pictures]
  • A. Searchlight Pictures chosen
    Searchlight Pictures is an American film production and distribution company known for critically acclaimed independent and specialty films, operating as a division of The Walt Disney Company.
  • B. Magnolia Pictures
    Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign films.
  • C. Sycamore Pictures
    Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
  • D. Gramercy Pictures
    Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
  • E. Myriad Pictures
    Myriad Pictures is an independent film production and distribution company known for handling a range of arthouse and specialty films.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca847102881908f9d86ce9883fb1a completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047afbc388190905b13582cd59b05 completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:16 p.m.