Triple
T24369037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Groza Award |
E614279
|
entity |
| Predicate | shortlist |
P139173
|
FINISHED |
| Object | three finalists |
—
|
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: three finalists | Statement: [Lou Groza Award, shortlist, three finalists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortlist Context triple: [Lou Groza Award, shortlist, three finalists]
-
A.
shortlistPublication
Indicates that a publication has been selected as a shortlisted candidate, typically marking it for special consideration or recognition among a larger set.
-
B.
awardShortlist
chosen
Indicates that an entity has been officially shortlisted or nominated for a specific award.
-
C.
shortListSize
Indicates the number of items currently contained in a short list associated with an entity or process.
-
D.
literaryAwardShortlist
Indicates that a work or creator has been officially selected as a finalist for a particular literary award.
-
E.
shortlistedVehicle
Indicates that a vehicle has been selected as a candidate option from a larger set, typically for further consideration or evaluation.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938994c081909730d1e02e823dfd |
completed | April 29, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:01 a.m.