Triple
T25284491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abidali Neemuchwala |
E633899
|
entity |
| Predicate | isFormerLeaderOf |
P7716
|
FINISHED |
| Object | Wipro Limited |
—
|
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: Wipro Limited | Statement: [Abidali Neemuchwala, isFormerLeaderOf, Wipro Limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFormerLeaderOf Context triple: [Abidali Neemuchwala, isFormerLeaderOf, Wipro Limited]
-
A.
hasFormerLeader
chosen
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
B.
notableFormerLeader
Indicates that the subject was once a leader of the object and is recognized as particularly significant or prominent in that former leadership role.
-
C.
hadPrincipalLeader
Indicates that an entity was led or headed by a primary or chief leader.
-
D.
hasFormerChiefExecutive
Indicates that an entity previously held the role of chief executive for another entity.
-
E.
winningPartyLeaderSince
Indicates that the subject has been serving as the leader of the party that won a particular election since the specified point in time.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0800a881909bf6099d120338a5 |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:19 p.m.