Triple

T17390634
Position Surface form Disambiguated ID Type / Status
Subject Thandie Newton E422811 entity
Predicate notableWork P4 FINISHED
Object Crash
"Crash" is a 2004 ensemble drama film set in Los Angeles that explores racial and social tensions through intersecting stories of diverse characters.
 E348019 NE FINISHED

How this triple was built (4 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: [Thandie Newton, notableWork, Crash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crash
Context triple: [Thandie Newton, 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
    "Crash" is a song by David Byrne featured on his self-titled 1994 album, blending art rock and alternative influences characteristic of his solo work.
  • C. Crash
    Crash is a song featured on the album "Hard II Love" by American R&B singer Usher.
  • D. Crash
    "Crash" is a 2022 pop album by Charli XCX that blends mainstream pop hooks with experimental production, marking a high-profile, commercially successful era in her career.
  • E. Crash
    "Crash" is a landmark 1996 studio album by the Dave Matthews Band, widely recognized for its blend of rock, jazz, and folk influences and for helping propel the group to mainstream success.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Crash
Triple: [Thandie Newton, notableWork, Crash]
Generated description
"Crash" is a 2004 ensemble drama film set in Los Angeles that explores racial and social tensions through intersecting stories of diverse characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crash
Target entity description: "Crash" is a 2004 ensemble drama film set in Los Angeles that explores racial and social tensions through intersecting stories of diverse characters.
  • 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 landmark 1996 studio album by the Dave Matthews Band, widely recognized for its blend of rock, jazz, and folk influences and for helping propel the group to mainstream success.
  • 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
    "Crash" is a track from Gwen Stefani's debut solo album "Love. Angel. Music. Baby." that blends pop and hip-hop influences with playful, flirtatious lyrics.
  • E. Crash
    "Crash" is a 2022 pop album by Charli XCX that blends mainstream pop hooks with experimental production, marking a high-profile, commercially successful era in her career.
  • F. None of above.

Provenance (5 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ab950d4819098d6a46f67c46191 completed April 19, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019ffcfe508190a03907a3c0eafe2c completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a19785508190a759628553297053 completed May 11, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a01a1f98470819086142ef594a8a13f completed May 11, 2026, 9:31 a.m.
Created at: April 10, 2026, 5:45 a.m.