Triple

T13076286
Position Surface form Disambiguated ID Type / Status
Subject Joe Eszterhas E329583 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Sliver E357006 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: Sliver | Statement: [Joe Eszterhas, wroteScreenplayFor, Sliver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sliver
Context triple: [Joe Eszterhas, wroteScreenplayFor, Sliver]
  • A. Sliver chosen
    Sliver is a 1993 erotic thriller film, based on an Ira Levin novel and starring Sharon Stone, about a woman who discovers disturbing surveillance and secrets in her New York apartment building.
  • B. Sylver
    Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
  • C. Silfur
    Silfur is a contemplative modern classical album by composer and pianist Dustin O’Halloran, characterized by intimate piano pieces and atmospheric, minimalist arrangements.
  • D. The Tear
    The Tear is the uppermost and one of the most picturesque of Bulgaria’s Seven Rila Lakes, renowned for its crystal-clear waters and dramatic mountain setting.
  • E. The Crystal
    The Crystal is a landmark sustainable building and exhibition center in London known for its distinctive glass architecture and focus on urban sustainability and green technologies.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27058dc8190a64e1a929f296619 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:01 p.m.