Triple
T22613402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Schnee |
E566774
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Crossfire |
—
|
NE NERFINISHED |
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: Crossfire | Statement: [Charles Schnee, notableWork, Crossfire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crossfire Context triple: [Charles Schnee, notableWork, Crossfire]
-
A.
Crossfire
"Crossfire" is a blues-rock song by Stevie Ray Vaughan and Double Trouble, known for its driving groove, punchy horn section, and socially conscious lyrics.
-
B.
Crossfire
chosen
Crossfire is a 1947 American film noir crime drama noted for its bold treatment of anti-Semitism and its ensemble cast, including Gloria Grahame.
-
C.
Crossfire
Crossfire was a long-running CNN political debate television program known for its combative left-right commentary format.
-
D.
Crossfire
Crossfire is a high-energy song by the South Korean boy group Stray Kids, known for its intense production and powerful choreography.
-
E.
Crossfire
Crossfire is a British thriller drama television series following a holiday resort under siege, starring Keeley Hawes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ec03c48190b55394b7296f48e5 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:58 p.m.