Triple
T35330398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leah Pruett |
E1020299
|
entity |
| Predicate | hasNumberOfNHRAWins |
P27026
|
FINISHED |
| Object | >=5 |
—
|
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: >=5 | Statement: [Leah Pruett, hasNumberOfNHRAWins, >=5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfNHRAWins Context triple: [Leah Pruett, hasNumberOfNHRAWins, >=5]
-
A.
totalNationalSeriesWins
Indicates the total number of national series competitions that an entity has won.
-
B.
numberOfWins
chosen
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
C.
hasNumberOfMonumentWins
Indicates the count of major monument victories associated with a given entity.
-
D.
numberOfOpponentsBeaten
Indicates the count of distinct opponents that an entity has successfully defeated.
-
E.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 3, 2026, 4:03 p.m.