Triple
T31186250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Montgomerie |
E795051
|
entity |
| Predicate | orderOfMeritTitles |
P68112
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Colin Montgomerie, orderOfMeritTitles, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfMeritTitles Context triple: [Colin Montgomerie, orderOfMeritTitles, 8]
-
A.
honoursTitle
Indicates that an entity holds or is designated by a formal honorific or honorary title.
-
B.
honorificOrder
Indicates the relative ranking or sequence of entities according to a system of honorifics or formal precedence.
-
C.
OrderOfMeritAlsoKnownAs
Indicates that one designation or title for an order of merit is an alternative or alias name for the same order.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
hasOrderOfMerit
chosen
Indicates that one entity has been awarded or holds a specific order of merit or honor conferred by another entity.
- 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_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 29, 2026, 9:08 p.m.