Triple

T9238024
Position Surface form Disambiguated ID Type / Status
Subject Office Christmas Party E221984 entity
Predicate productionCompany P490 FINISHED
Object Bluegrass Films E286417 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: Bluegrass Films | Statement: [Office Christmas Party, productionCompany, Bluegrass Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluegrass Films
Context triple: [Office Christmas Party, productionCompany, Bluegrass Films]
  • A. Bluegrass Films chosen
    Bluegrass Films is an American film and television production company known for producing major Hollywood features, including the satirical disaster comedy "Don't Look Up."
  • B. Grass Root Film Company
    Grass Root Film Company is an Indian film production house known for backing acclaimed Tamil-language films, established by director Vetrimaaran.
  • C. Pearl Street Films
    Pearl Street Films is a film and television production company co-founded by actors Ben Affleck and Matt Damon, known for producing a range of high-profile projects.
  • D. Blackbird Films
    Blackbird Films is a film production company known for producing the critically acclaimed drama "The Tale."
  • E. Little Mountain Films
    Little Mountain Films is a film and television production company known for collaborating on projects such as the series "City on a Hill."
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:30 p.m.