Triple
T14523328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosanna Arquette |
E340706
|
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: [Rosanna Arquette, notableWork, Crash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crash Context triple: [Rosanna Arquette, 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
chosen
Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a50324481909713bbf68295e839 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.