Triple

T5271698
Position Surface form Disambiguated ID Type / Status
Subject Paul Haggis E119272 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: [Paul Haggis, notableWork, Crash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crash
Context triple: [Paul Haggis, notableWork, Crash]
  • A. 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.
  • B. Crash chosen
    Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
  • C. Crash
    Crash is a hyperactive opossum character from the Ice Age animated film series, known for his comic antics alongside his twin brother Eddie.
  • 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
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c1fa01081909d589686289b624b completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ced8f481909d1714ed3415ab85 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.