Triple
T21857567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Hogan |
E539668
|
entity |
| Predicate | wonInYear |
P144041
|
FINISHED |
| Object | 3 professional majors in 1953 |
—
|
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: 3 professional majors in 1953 | Statement: [Ben Hogan, wonInYear, 3 professional majors in 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonInYear Context triple: [Ben Hogan, wonInYear, 3 professional majors in 1953]
-
A.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
B.
wonAt
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
C.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
-
D.
returnedAwardYear
Indicates the year in which an award that had previously been given was returned or relinquished.
-
E.
yearOfAchievement
chosen
Indicates the specific year in which an achievement, accomplishment, or notable milestone occurred or was obtained.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d638721c8190918fc6ad9c5d5bf6 |
completed | April 28, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:56 p.m.