Triple

T7044321
Position Surface form Disambiguated ID Type / Status
Subject Matt Dillon E163592 entity
Predicate notableWork P4 FINISHED
Object Crash E348019 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: Crash | Statement: [Matt Dillon, notableWork, Crash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crash
Context triple: [Matt Dillon, notableWork, Crash]
  • A. Crash chosen
    Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
  • B. Crash
    Crash is a hyperactive opossum character from the Ice Age animated film series, known for his comic antics alongside his twin brother Eddie.
  • C. Crash
    Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
  • D. Crash: Mind over Mutant
    Crash: Mind over Mutant is an action-platformer video game in the Crash Bandicoot series that features open-world elements and the ability to control enemy creatures called Titans.
  • E. Blitz
    Blitz is the Seattle Seahawks’ official blue and green anthropomorphic bird mascot who entertains fans at games and team events.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23730888190a827ca5c61c4eed0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887799f48190b4fa311defd8e9fd completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.