Triple
T26666963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Aranda |
E672210
|
entity |
| Predicate | seasonRecordHighlight |
P134483
|
FINISHED |
| Object | 2021 Baylor 12–2 record |
—
|
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: 2021 Baylor 12–2 record | Statement: [Dave Aranda, seasonRecordHighlight, 2021 Baylor 12–2 record]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonRecordHighlight Context triple: [Dave Aranda, seasonRecordHighlight, 2021 Baylor 12–2 record]
-
A.
seasonRecord
Indicates the overall performance or results an entity achieved over the course of a specific season (e.g., wins, losses, or comparable outcome metrics).
-
B.
seasonHighlightEvent
chosen
Indicates an event that stands out as a key or notable highlight within a particular season.
-
C.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
-
D.
seasonWins
Indicates the number of games or competitions a team or individual has won during a specific season.
-
E.
bestSeasonRecord
Indicates that one entity holds the best (most successful) season performance record among a set of entities, typically in a competitive or statistical context.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 3:10 a.m.