Triple
T34077428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Harris |
E873944
|
entity |
| Predicate | servesUnderTitle |
P200267
|
FINISHED |
| Object | Minister in the Minns ministry |
—
|
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: Minister in the Minns ministry | Statement: [David Harris, servesUnderTitle, Minister in the Minns ministry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesUnderTitle Context triple: [David Harris, servesUnderTitle, Minister in the Minns ministry]
-
A.
servesUnder
Indicates that one entity works in a subordinate role under the authority, command, or supervision of another entity.
-
B.
dedicatedUnderTitle
Indicates that something is formally dedicated or addressed under a specific title or heading.
-
C.
typicallyServedAs
Indicates that something is most commonly presented, used, or offered in a particular role, form, or function.
-
D.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
E.
usesTitleIn
Indicates that an entity is referred to using a particular title within a specified context or medium.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
| PDg | Predicate description generation | batch_69ff7dce25d88190b167a014661bc4ba |
completed | May 9, 2026, 6:32 p.m. |
Created at: May 1, 2026, 1:52 a.m.