Triple
T31186251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Montgomerie |
E795051
|
entity |
| Predicate | consecutiveOrderOfMeritTitles |
P87395
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Colin Montgomerie, consecutiveOrderOfMeritTitles, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consecutiveOrderOfMeritTitles Context triple: [Colin Montgomerie, consecutiveOrderOfMeritTitles, 7]
-
A.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
B.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
C.
consecutiveTitleNumberForChampion
chosen
Indicates that the associated number represents how many titles a champion has won consecutively up to that point.
-
D.
hasOrderOfMerit
Indicates that one entity has been awarded or holds a specific order of merit or honor conferred by another entity.
-
E.
consecutiveTitleNumber
Indicates that one entity’s title number immediately follows another’s in a sequential ordering.
- 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_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 29, 2026, 9:08 p.m.