Triple

T4170240
Position Surface form Disambiguated ID Type / Status
Subject Monty Python and the Holy Grail E84544 entity
Predicate distributor P1951 FINISHED
Object Cinema 5
Cinema 5 was an American independent film distribution company known for releasing influential art-house and foreign films in the 1960s and 1970s.
 E417879 NE FINISHED

How this triple was built (4 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 5 | Statement: [Monty Python and the Holy Grail, distributor, Cinema 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cinema 5
Context triple: [Monty Python and the Holy Grail, distributor, Cinema 5]
  • A. CINE
    CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
  • B. 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.
  • C. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • D. Cinesphere
    Cinesphere is a landmark domed cinema in Toronto, Canada, known as the world’s first permanent IMAX theatre and a key architectural feature of the Ontario Place complex.
  • E. Le Cinéma
    Le Cinéma is a movie theater within Tokyo’s Bunkamura cultural complex, known for screening a curated selection of domestic and international films.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cinema 5
Triple: [Monty Python and the Holy Grail, distributor, Cinema 5]
Generated description
Cinema 5 was an American independent film distribution company known for releasing influential art-house and foreign films in the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cinema 5
Target entity description: Cinema 5 was an American independent film distribution company known for releasing influential art-house and foreign films in the 1960s and 1970s.
  • A. CINE
    CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
  • B. 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.
  • C. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • D. Cinesphere
    Cinesphere is a landmark domed cinema in Toronto, Canada, known as the world’s first permanent IMAX theatre and a key architectural feature of the Ontario Place complex.
  • E. Le Cinéma
    Le Cinéma is a movie theater within Tokyo’s Bunkamura cultural complex, known for screening a curated selection of domestic and international films.
  • F. None of above. chosen

Provenance (5 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c87cc88190a9ec3712db18a8a7 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4ef1a08190a232ed94595a86e8 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b580e08e888190b48ddae4435c984a completed March 14, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5817b52bc8190aba6863a9ef05acf completed March 14, 2026, 3:40 p.m.
Created at: March 9, 2026, 3:44 p.m.