Triple
T23472915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Hagen |
E570175
|
entity |
| Predicate | secondUsOpenWinYear |
P152408
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Walter Hagen, secondUsOpenWinYear, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondUsOpenWinYear Context triple: [Walter Hagen, secondUsOpenWinYear, 1919]
-
A.
secondWinningSeason
Indicates that the season in question is the second time an entity (such as a team or individual) has achieved a winning record or successful outcome.
-
B.
secondSeasonChampionYear
Indicates the year in which an entity won a championship for the second season.
-
C.
seasonOpenerWinningTeam
Indicates which team won the opening game of a season.
-
D.
yearOfBestOpenFinish
Indicates the year in which an entity achieved its best (highest) finishing position in an Open tournament or championship.
-
E.
mostRecentExpansionYear
Indicates the calendar year in which the entity most recently underwent an expansion.
- F. None of above. chosen
Provenance (4 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a70244208190bbd8f58ac16d4399 |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:57 p.m.