Triple

T10880745
Position Surface form Disambiguated ID Type / Status
Subject MTV Movie & TV Award for Best Movie E256911 entity
Predicate notableWinner P2766 FINISHED
Object Scream E136030 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: Scream | Statement: [MTV Movie & TV Award for Best Movie, notableWinner, Scream]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scream
Context triple: [MTV Movie & TV Award for Best Movie, notableWinner, Scream]
  • A. Scream
    Scream is a 2009 studio album by American rock musician Chris Cornell that explores a more pop and electronic-influenced sound produced in collaboration with Timbaland.
  • B. Scream
    "Scream" is a song by American rock band Long Gone, known for its intense energy and emotionally charged sound.
  • C. Scream chosen
    Scream is a 1996 American slasher film directed by Wes Craven that revitalized the horror genre with its self-aware, meta-commentary on slasher movie tropes.
  • D. Scream
    Scream is a high-thrill drop tower ride located at the Six Flags Fiesta Texas amusement park.
  • E. Scream
    "Scream" is a song by the American metal band Flesh Tone, known for its aggressive sound and intense vocal delivery.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.