Triple
T24990296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who shot J.R.? |
E625427
|
entity |
| Predicate | seasonOfCliffhanger |
P45371
|
FINISHED |
| Object | Dallas season 3 |
—
|
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: Dallas season 3 | Statement: [Who shot J.R.?, seasonOfCliffhanger, Dallas season 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonOfCliffhanger Context triple: [Who shot J.R.?, seasonOfCliffhanger, Dallas season 3]
-
A.
seasonOfTitle
Indicates that one entity is a specific season or installment within the series or title represented by the other entity.
-
B.
containsCliffhanger
Indicates that an event, scene, or narrative segment ends in a suspenseful, unresolved way that leaves the outcome uncertain.
-
C.
occurredInSeason
chosen
Indicates that an event or occurrence took place during a specific season within a temporal sequence (such as a TV show season or sports season).
-
D.
yearOfTelevisionSeason
Indicates the specific calendar year in which a given television season was originally released, aired, or is associated.
-
E.
wonSeasonOf
Indicates that one entity emerged as the overall winner of a particular season of a competition, show, or series involving the other entity.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:03 a.m.