Triple

T5885097
Position Surface form Disambiguated ID Type / Status
Subject Stacey Sher E130841 entity
Predicate coFounded P104 FINISHED
Object Double Feature Films E312153 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: Double Feature Films | Statement: [Stacey Sher, coFounded, Double Feature Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Double Feature Films
Context triple: [Stacey Sher, coFounded, Double Feature Films]
  • A. Double Feature Films chosen
    Double Feature Films is a film production company known for backing high-profile feature films, including Quentin Tarantino projects.
  • B. Double Feature
    "Double Feature" is a novel by Owen King that blends dark humor and horror elements in a story about a struggling filmmaker and his complicated relationship with his B-movie–actor father.
  • C. Parallel Films
    Parallel Films is an Irish film production company known for producing independent and arthouse features, including Neil Jordan’s "Breakfast on Pluto."
  • D. One Two Films
    One Two Films is a film production company known for producing independent and arthouse cinema, including the critically acclaimed drama "The Tale."
  • E. Exclusive Films
    Exclusive Films was a British film production and distribution company active in the mid-20th century, known for handling a range of genre and independent 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0367743508190bae211e9ce8f9690 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff9ecdc819098823b003cec66a2 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:57 p.m.