Triple
T16932131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Tom Bell |
E410734
|
entity |
| Predicate | climacticScene |
P106307
|
FINISHED |
| Object | visits motel room shortly after Anton Chigurh has left |
—
|
LITERAL 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: visits motel room shortly after Anton Chigurh has left | Statement: [Ed Tom Bell, climacticScene, visits motel room shortly after Anton Chigurh has left]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climacticScene Context triple: [Ed Tom Bell, climacticScene, visits motel room shortly after Anton Chigurh has left]
-
A.
typeOfClimax
Indicates the specific kind or category of climax that characterizes an event, narrative, or process.
-
B.
climaxLocation
Indicates the place or setting where the most intense or pivotal moment of an event, narrative, or process occurs.
-
C.
climaxEvents
chosen
Indicates that the related events represent the peak or most intense turning point within a larger sequence or narrative.
-
D.
hasClimaxAt
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
-
E.
dramaticClimaxInvolvement
Indicates involvement in the pivotal, most intense turning point or climax of a dramatic work or narrative.
- F. None of above.
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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2650e08190b669d0cf2cf1275b |
completed | April 18, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.