Triple
T925670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mick Mulvaney |
E19976
|
entity |
| Predicate | startTime (Special Envoy for Northern Ireland) |
P22428
|
FINISHED |
| Object | 2020-03-06 |
—
|
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: 2020-03-06 | Statement: [Mick Mulvaney, startTime (Special Envoy for Northern Ireland), 2020-03-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Special Envoy for Northern Ireland) Context triple: [Mick Mulvaney, startTime (Special Envoy for Northern Ireland), 2020-03-06]
-
A.
startTime (Minister to the UK)
Indicates the date and time at which the person began serving in the role of Minister to the UK.
-
B.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
-
C.
startTime (Governor of South Carolina)
Indicates the point in time at which a person begins serving as Governor of South Carolina.
-
D.
startTimeAsRepresentative
Indicates the time at which an entity begins serving or acting in a representative capacity.
-
E.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2970a4c8190b22cb2fd4706f62b |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.