Triple
T11306856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSL-TV |
E267737
|
entity |
| Predicate | careerStageForJimNantz |
P37944
|
FINISHED |
| Object | early broadcasting career |
—
|
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: early broadcasting career | Statement: [KSL-TV, careerStageForJimNantz, early broadcasting career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerStageForJimNantz Context triple: [KSL-TV, careerStageForJimNantz, early broadcasting career]
-
A.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
B.
NBAcareerEnd
Indicates the time or season when a person's playing career in the NBA came to an end.
-
C.
professionalStatusFromSeason
Indicates the professional status an entity holds during or as determined by a specific season or time period.
-
D.
startTimeOfNFLOfficiatingCareer
Indicates the point in time when an individual's NFL officiating career began.
-
E.
refersToEraOfCareer
chosen
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
- 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_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. |
Created at: April 8, 2026, 9:32 p.m.