Triple
T9518757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Paxton |
E229591
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Crossfire |
E288401
|
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: Crossfire | Statement: [John Paxton, notableWork, Crossfire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crossfire Context triple: [John Paxton, 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.
Cross Fire
Cross Fire is a crime thriller novel in James Patterson's Alex Cross series, following the detective as he investigates a string of sniper killings while confronting a personal vendetta.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9881e0f081909a0177cedc2e8b95 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a51292c8190b871509a32897251 |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:59 p.m.