Triple
T36779786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centric Award |
E908735
|
entity |
| Predicate | associatedWithTVChannel |
P50228
|
FINISHED |
| Object | BET Her |
E2071696
|
NE 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: BET Her | Statement: [Centric Award, associatedWithTVChannel, BET Her]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTVChannel Context triple: [Centric Award, associatedWithTVChannel, BET Her]
-
A.
servedByTelevisionStation
Indicates that a particular area, audience, or service region is provided television broadcasting or coverage by a specific television station.
-
B.
tvPartner
Indicates that two entities are partners or collaborators in the context of television, such as co-producing, co-presenting, or jointly participating in TV-related activities.
-
C.
mediaAssociation
Indicates a relationship where one media item is linked, connected, or otherwise associated with another entity or media resource.
-
D.
associatedShow
Indicates a relationship where one entity is linked or connected to a particular show (e.g., as its subject, source, or related program).
-
E.
televisionNetworkAssociation
chosen
Indicates a relationship where an entity is affiliated with, carried by, or part of a particular television network.
- F. None of above.
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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d179f92cc8190950471bd7f6f0fc2 |
completed | June 25, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.