Triple
T5650029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Byron Nelson Jr. |
E124479
|
entity |
| Predicate | numberOfMajorChampionshipWins |
P8059
|
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: [John Byron Nelson Jr., numberOfMajorChampionshipWins, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorChampionshipWins Context triple: [John Byron Nelson Jr., numberOfMajorChampionshipWins, 5]
-
A.
majorChampionshipWins
chosen
Indicates the number of major championship titles an entity has won.
-
B.
numberOfOpenChampionshipsWon
Indicates the total count of Open Championships that an entity has won.
-
C.
majorChampionshipSince
Indicates that an entity has won at least one major championship title starting from a specified time or year.
-
D.
numberOfMastersTournamentsWon
Indicates the number of Masters golf tournaments that an entity has won.
-
E.
numberOfUSOpenChampionshipsWon
Indicates the count of US Open Championship titles that an entity has won.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d4ca788190b20168b20cb1d030 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.