Triple
T2665596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Bowles |
E55626
|
entity |
| Predicate | secondTermAsUSAmbassadorToIndiaEnd |
P41293
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Chester Bowles, secondTermAsUSAmbassadorToIndiaEnd, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondTermAsUSAmbassadorToIndiaEnd Context triple: [Chester Bowles, secondTermAsUSAmbassadorToIndiaEnd, 1969]
-
A.
servedAsForeignMinisterUntil
Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
-
B.
receivesDiplomaticAccreditationFrom
Indicates that an entity is formally recognized and accepted in an official diplomatic capacity by another entity that grants the accreditation.
-
C.
vicePresidentDuringSecondTerm
Indicates that one entity served as vice president during the second term of another entity’s tenure in office.
-
D.
termEndAsViceroyOfIndia
Indicates the time or event at which an individual’s tenure serving as the Viceroy of India comes to an end.
-
E.
succeededInOfficeAsSecretaryOfStateBy
Indicates that one individual was followed in the role of Secretary of State by another individual, who took over the office after them.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96ed2748190a4feae98199b459d |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:54 p.m.