Triple
T4049630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Dillon |
E84151
|
entity |
| Predicate | ambassadorTermStart |
P17005
|
FINISHED |
| Object | 1953-03-13 |
—
|
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: 1953-03-13 | Statement: [Douglas Dillon, ambassadorTermStart, 1953-03-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ambassadorTermStart Context triple: [Douglas Dillon, ambassadorTermStart, 1953-03-13]
-
A.
ambassadorialTermStart
chosen
Indicates the date on which an ambassador’s official term in a particular diplomatic post begins.
-
B.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
C.
endTime_UNAmbassador
Indicates the time at which a person’s tenure or role as a UN Ambassador concludes.
-
D.
commissionerStartYear
Indicates the calendar year in which an entity began serving in the role of commissioner.
-
E.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb82d1a08190aa8c5c48d368b58b |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.