Triple

T11515068
Position Surface form Disambiguated ID Type / Status
Subject ScreenX E273011 entity
Predicate compatibleWith P203 FINISHED
Object Hollywood films E791283 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: Hollywood films | Statement: [ScreenX, compatibleWith, Hollywood films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollywood films
Context triple: [ScreenX, compatibleWith, Hollywood films]
  • A. Hollywood films chosen
    Hollywood films are mainstream motion pictures produced by the American film industry centered in Hollywood, known for their global influence, large-scale productions, and dominant role in popular cinema.
  • B. Cinema
    "Cinema" is a popular electronic dance track by Italian DJ and producer Benny Benassi, widely recognized for its catchy melody and influential role in early 2010s EDM.
  • C. Cinema
    Cinema is a short-lived 1980s progressive rock band formed by former Yes members, best known as the precursor project that evolved into the re-formed Yes lineup featuring Trevor Rabin.
  • D. Films and Entertainment
    Films and Entertainment is an award category recognizing outstanding science communication through movies, television, and other entertainment media.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db8bf9c8190820c289e6b0c3873 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625143a608190a1119b30c08df0fd completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.