Triple

T11612168
Position Surface form Disambiguated ID Type / Status
Subject Star Cinema E275409 entity
Predicate hasBrand P1500 FINISHED
Object Star Cinema E275409 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: Star Cinema | Statement: [Star Cinema, hasBrand, Star Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star Cinema
Context triple: [Star Cinema, hasBrand, Star Cinema]
  • A. Star Cinema chosen
    Star Cinema is a major Philippine film production company known for producing many of the country's most popular mainstream movies and launching the careers of numerous Filipino actors and filmmakers.
  • B. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • C. Rio Cinema
    Rio Cinema is a historic independent movie theater in the Dalston area of London, known for its art deco architecture and diverse film programming.
  • D. Manila Film Center
    The Manila Film Center is a historic, controversial film archive and screening venue in Pasay, Philippines, built during the Marcos era and known for its grand architecture and tragic construction accident.
  • E. Cinema City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a043a3c08190a20cbc2ba5a8d218 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a8311bcc8190a3fe7d28c593aea3 completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.