Triple
T11306804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Nantz |
E267734
|
entity |
| Predicate | hasGivenCallFor |
P98418
|
FINISHED |
| Object | Super Bowl broadcasts |
—
|
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: Super Bowl broadcasts | Statement: [Jim Nantz, hasGivenCallFor, Super Bowl broadcasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenCallFor Context triple: [Jim Nantz, hasGivenCallFor, Super Bowl broadcasts]
-
A.
hasCall
Indicates that one entity initiates or participates in a telephone or voice communication with another entity.
-
B.
hasGiven
Indicates that one entity has transferred or presented something to another entity.
-
C.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
D.
hasAppealsTo
Indicates that one entity formally challenges or seeks review of a decision, judgment, or outcome through another entity or process.
-
E.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.