Triple
T33612193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakir Husain |
E861017
|
entity |
| Predicate | predecessorAsPresidentOfIndia |
P34201
|
FINISHED |
| Object | Sarvepalli Radhakrishnan |
—
|
NE NERFINISHED |
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: Sarvepalli Radhakrishnan | Statement: [Zakir Husain, predecessorAsPresidentOfIndia, Sarvepalli Radhakrishnan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorAsPresidentOfIndia Context triple: [Zakir Husain, predecessorAsPresidentOfIndia, Sarvepalli Radhakrishnan]
-
A.
successorAsGovernorGeneralOfIndia
Indicates that one person assumed the role of Governor-General of India immediately after another person, succeeding them in that office.
-
B.
precededByAsGovernorGeneralOfIndia
Indicates that one individual held the position of Governor-General of India immediately before another individual.
-
C.
successorInIndia
Indicates that one entity directly follows or replaces another in a role, position, or sequence within the context of India.
-
D.
predecessorInOffice
chosen
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
-
E.
predecessorCEO
Indicates that one person previously held the position of CEO before another specific person.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 1, 2026, 1:41 a.m.