Triple

T11465901
Position Surface form Disambiguated ID Type / Status
Subject The Nanny Diaries E271777 entity
Predicate productionCompany P490 FINISHED
Object FilmColony E514041 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: FilmColony | Statement: [The Nanny Diaries, productionCompany, FilmColony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FilmColony
Context triple: [The Nanny Diaries, productionCompany, FilmColony]
  • A. FilmColony chosen
    FilmColony is a film production company best known for producing the acclaimed biographical drama "Finding Neverland."
  • B. Film City
    Film City is a major media and entertainment production hub in Noida, housing numerous television studios, news channels, and film production facilities.
  • C. ArenaFilm
    ArenaFilm is an Australian film production company known for producing the critically acclaimed drama "Romulus, My Father."
  • D. ARRAY Filmworks
    ARRAY Filmworks is a film and television production company founded by filmmaker Ava DuVernay, known for championing diverse voices and inclusive storytelling.
  • E. Flims
    Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9377ff4819096971a77e0181eaf completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.