Triple

T14874575
Position Surface form Disambiguated ID Type / Status
Subject Heroes & Icons E349831 entity
Predicate hasSisterNetwork P6991 FINISHED
Object Movies! E1125954 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: Movies! | Statement: [Heroes & Icons, hasSisterNetwork, Movies!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Movies!
Context triple: [Heroes & Icons, hasSisterNetwork, Movies!]
  • A. Movies! chosen
    Movies! is an American digital multicast television network specializing in classic and older feature films, typically airing uncut and in their original aspect ratios.
  • B. Flims
    Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • 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. 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.
  • E. Hollywood films
    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.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72aad76c8190b024651483d8f9ff completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:55 a.m.