Triple
T15254091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Kara Unger |
E364598
|
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: [Deborah Kara Unger, notableWork, Crash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crash Context triple: [Deborah Kara Unger, notableWork, Crash]
-
A.
Crash
Crash is a 1986 synth-pop album by British band The Human League, best known for featuring the hit single "Human" and marking a more polished, R&B-influenced sound for the group.
-
B.
Crash
Crash is a song featured on the album "Hard II Love" by American R&B singer Usher.
-
C.
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.
-
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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f572348190bd7719805e257e03 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.