Triple
T11020762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirpal Singh |
E260480
|
entity |
| Predicate | termAsPresidentOfWorldFellowshipOfReligions |
P1384
|
FINISHED |
| Object | 1957-1974 |
—
|
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: 1957-1974 | Statement: [Kirpal Singh, termAsPresidentOfWorldFellowshipOfReligions, 1957-1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsPresidentOfWorldFellowshipOfReligions Context triple: [Kirpal Singh, termAsPresidentOfWorldFellowshipOfReligions, 1957-1974]
-
A.
meetsDuringPresidencyOf
Indicates that one entity meets another while a specified person is serving as president.
-
B.
electedAsPresidingBishopOn
Indicates that an individual was chosen and formally appointed to serve as Presiding Bishop on a specific date.
-
C.
servedAsPresidentDuring
chosen
Indicates that a person held the office of president for the duration of a specified time period or event.
-
D.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
-
E.
termStartAsUNGAPresident
Indicates that an individual begins their term of office serving as President of the United Nations General Assembly.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e995e008190bbffb314129ed0cd |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.