Triple

T14752104
Position Surface form Disambiguated ID Type / Status
Subject Factory Girl E346634 entity
Predicate distributedBy P1951 FINISHED
Object The Weinstein Company E15809 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 Weinstein Company | Statement: [Factory Girl, distributedBy, The Weinstein Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Weinstein Company
Context triple: [Factory Girl, distributedBy, The Weinstein Company]
  • A. The Weinstein Company chosen
    The Weinstein Company was an American independent film studio and distributor founded by Bob and Harvey Weinstein, known for producing and releasing numerous critically acclaimed and award-winning films.
  • B. Moonlight Pictures
    Moonlight Pictures is a film production company known for producing the biographical drama "The White Crow."
  • C. Quadrant Pictures
    Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
  • D. Magnolia Pictures
    Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign films.
  • E. Gramercy Pictures
    Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.