Triple
T24691366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Julius Esiason |
E611444
|
entity |
| Predicate | previousRadioShow |
P30454
|
FINISHED |
| Object | Boomer and Carton |
—
|
NE NERFINISHED |
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: Boomer and Carton | Statement: [Norman Julius Esiason, previousRadioShow, Boomer and Carton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousRadioShow Context triple: [Norman Julius Esiason, previousRadioShow, Boomer and Carton]
-
A.
appearedInRadioShow
Indicates that an entity participated in or was featured on a particular radio show.
-
B.
hasRadioShow
chosen
Indicates that an entity hosts, produces, or is responsible for a radio show.
-
C.
formerRadioStation
Indicates that the subject was once a radio station but no longer operates in that capacity.
-
D.
broadcastStation
Indicates that one entity functions as a broadcast station that transmits content or signals to an audience or network.
-
E.
previousProduction
Indicates that one production event, item, or version occurred or was created before another in a sequence.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:20 a.m.