Triple

T17037467
Position Surface form Disambiguated ID Type / Status
Subject Mary Elizabeth Winstead E413357 entity
Predicate notableWork P4 FINISHED
Object Faults E1194363 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: Faults | Statement: [Mary Elizabeth Winstead, notableWork, Faults]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faults
Context triple: [Mary Elizabeth Winstead, notableWork, Faults]
  • A. Faults chosen
    Faults is a 2014 darkly comedic psychological thriller film about a cult deprogrammer whose latest case spirals into a disturbing power struggle.
  • B. To a Fault
    To a Fault is a poetry collection by Northern Irish writer Nick Laird that helped establish his reputation for sharp, contemporary verse exploring identity, politics, and personal relationships.
  • C. Aftershocks
    "Aftershocks" is a song by musician Dan Goodman, likely featuring his characteristic rock-influenced style and emotive songwriting.
  • D. Aftershocks
    "Aftershocks" is a song by singer-songwriter Gabe Goodman, showcasing his introspective indie style and emotive lyricism.
  • E. The Faultline
    The Faultline is an organized supporters' group known for passionately backing Major League Soccer club San Jose Earthquakes with coordinated chants, displays, and matchday atmosphere.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f38b58819093af4054c3459726 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5b71f48190b6c865d57668b5d1 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.