Triple
T11977950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard M. Murray |
E285082
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | S. Shankar Sastry |
E62373
|
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: S. Shankar Sastry | Statement: [Richard M. Murray, coAuthor, S. Shankar Sastry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. Shankar Sastry Context triple: [Richard M. Murray, coAuthor, S. Shankar Sastry]
-
A.
Shankar Sastry
chosen
Shankar Sastry is a prominent control theorist and engineer known for his influential contributions to control systems, robotics, and cyber-physical systems, as well as his leadership roles in academia.
-
B.
A. L. Ramesh
A. L. Ramesh is an Indian film editor known for his work in Tamil cinema, including editing the acclaimed film "Subramaniapuram."
-
C.
R. Venkataraman
R. Venkataraman was an Indian lawyer, freedom fighter, and statesman who served as the eighth President of India from 1987 to 1992.
-
D.
E. S. L. Narasimhan
E. S. L. Narasimhan is an Indian civil servant and former intelligence officer who served as a long-tenured state governor, including in Andhra Pradesh and Telangana.
-
E.
S. Shankar
S. Shankar is a prominent Indian film director known for his big-budget, visually spectacular Tamil-language movies that often blend science fiction, social themes, and mass entertainment.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471f6afc48190856a0f7c486b28aa |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.