Triple
T1411070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wipro Limited |
E31804
|
entity |
| Predicate | chiefExecutiveOfficer |
P2568
|
FINISHED |
| Object | Thierry Delaporte |
E258595
|
NE 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: Thierry Delaporte | Statement: [Wipro Limited, chiefExecutiveOfficer, Thierry Delaporte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thierry Delaporte Context triple: [Wipro Limited, chiefExecutiveOfficer, Thierry Delaporte]
-
A.
Thierry Delaporte
chosen
Thierry Delaporte is a French business executive best known as the CEO and Managing Director of Indian IT services giant Wipro.
-
B.
Thierry Cruanes
Thierry Cruanes is a computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
C.
Paul Thiry
Paul Thiry was a prominent mid-20th-century American architect known as a leading figure of Northwest modernism.
-
D.
Jean-Philippe Vassal
Jean-Philippe Vassal is a prominent French architect, best known as co-founder of the firm Lacaton & Vassal and for his innovative, socially conscious housing and renovation projects.
-
E.
Daniel Pomarède
Daniel Pomarède is a French astrophysicist known for his work in cosmography and for helping map and characterize large-scale structures of the universe, including major galaxy superclusters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e1da988190bc7c187e193539b6 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea82191408190892e9a8e12504a8f |
completed | March 9, 2026, 10:59 a.m. |
Created at: March 1, 2026, 7:59 p.m.