Triple
T1058869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkcaldy and Cowdenbeath |
E22858
|
entity |
| Predicate | Roger MullinTermEnd |
P4346
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Kirkcaldy and Cowdenbeath, Roger MullinTermEnd, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Roger MullinTermEnd Context triple: [Kirkcaldy and Cowdenbeath, Roger MullinTermEnd, 2017]
-
A.
formerDirector
Indicates that one entity previously held the position of director of the other entity but no longer does.
-
B.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
C.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
D.
currentSpeakerAssumedOffice
Indicates that the person who is currently serving as speaker has taken up or begun holding a particular office or position.
-
E.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4ba6e35ac8190802341c31bda0e3b |
completed | March 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69a4b7340a048190807363f19d17a58f |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.