Triple

T14250438
Position Surface form Disambiguated ID Type / Status
Subject Putney Swope E353245 entity
Predicate distributor P1951 FINISHED
Object Cinema V E417879 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: Cinema V | Statement: [Putney Swope, distributor, Cinema V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinema V
Context triple: [Putney Swope, distributor, Cinema V]
  • A. Cinema 5 chosen
    Cinema 5 was an American independent film distribution company known for releasing influential art-house and foreign films in the 1960s and 1970s.
  • B. CINE
    CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
  • C. Vides Cinematografica
    Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
  • D. Vue Cinema
    Vue Cinema is a major UK-based multiplex cinema chain known for showing the latest mainstream films with modern digital and 3D screening technology.
  • E. Cinema Impero
    Cinema Impero is a prominent Art Deco-style movie theater in Asmara, Eritrea, celebrated as one of the city’s most iconic architectural landmarks.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.