Triple
T1125734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl II |
E24714
|
entity |
| Predicate | broadcastRightsFeeUS |
P25248
|
FINISHED |
| Object | $2.5 million |
—
|
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: $2.5 million | Statement: [Super Bowl II, broadcastRightsFeeUS, $2.5 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastRightsFeeUS Context triple: [Super Bowl II, broadcastRightsFeeUS, $2.5 million]
-
A.
broadcastRatingUS
Indicates the television content rating assigned to a broadcast in the United States.
-
B.
mediaRights
Indicates that one entity holds legal permission or authority to use, distribute, or control the use of another entity’s media content.
-
C.
hasBroadcastRightsHolder
Indicates that one entity holds the legal rights to broadcast content owned or controlled by another entity.
-
D.
admissionFee
Indicates the monetary charge required for entry or participation in a place, event, or activity.
-
E.
costToUser
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.