Triple
T38050312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twyman–Stokes Teammate of the Year Award |
E949736
|
entity |
| Predicate | numberOfNomineesPerConference |
P12579
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Twyman–Stokes Teammate of the Year Award, numberOfNomineesPerConference, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNomineesPerConference Context triple: [Twyman–Stokes Teammate of the Year Award, numberOfNomineesPerConference, 6]
-
A.
typicalNumberOfNominees
chosen
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
B.
totalNumberOfNominees
Indicates the total count of nominees associated with a particular entity or event.
-
C.
maximumNominationsPerFilm
Indicates the highest number of nominations that any single film is allowed to receive.
-
D.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
-
E.
numberOfSeriesPerConference
Indicates the total count of series associated with or occurring within a given conference.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.