Triple
T183259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL–AFL merger |
E3923
|
entity |
| Predicate | televisionAspect |
P6595
|
FINISHED |
| Object | helped consolidate national TV rights for professional football |
—
|
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: helped consolidate national TV rights for professional football | Statement: [NFL–AFL merger, televisionAspect, helped consolidate national TV rights for professional football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionAspect Context triple: [NFL–AFL merger, televisionAspect, helped consolidate national TV rights for professional football]
-
A.
televisionExposureLevel
Indicates the degree or amount of exposure an entity has to television content.
-
B.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
D.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
E.
broadcastNetwork
Indicates that one entity serves as the television or radio network that broadcasts the programming or content of another entity.
- F. None of above. chosen
Provenance (4 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592516748190a85ae58eec191f14 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566dfc388190988b1b42d5daaafe |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257e763d081908c54ad57d8d3060d |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.