Triple
T31186252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Montgomerie |
E795051
|
entity |
| Predicate | orderOfMeritTitleYears |
P8111
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Colin Montgomerie, orderOfMeritTitleYears, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfMeritTitleYears Context triple: [Colin Montgomerie, orderOfMeritTitleYears, 1993]
-
A.
namedAfterAwardYear
Indicates that one entity is named after the year in which a particular award was given or received.
-
B.
permanentAwardYear
Indicates the specific year in which a permanent award or honor was formally granted or established.
-
C.
divisionTitlesAwardedSince
Indicates the number or list of division titles that have been awarded to an entity starting from a specified point in time.
-
D.
numberOfAwardsPerYear
Indicates the number of awards associated with an entity within a given year.
-
E.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 29, 2026, 9:08 p.m.