Triple
T19190095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPT-1 |
E469810
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Karthik Narasimhan |
—
|
NE NERFINISHED |
How this triple was built (3 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: Karthik Narasimhan | Statement: [GPT-1, coAuthor, Karthik Narasimhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karthik Narasimhan Context triple: [GPT-1, coAuthor, Karthik Narasimhan]
-
A.
Ravi K. Chandran
Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
-
B.
Arvind Neelakantan
Arvind Neelakantan is a researcher in artificial intelligence and machine learning known for his work on large language models and neural network architectures.
-
C.
Anand Rajaraman
Anand Rajaraman is an entrepreneur, academic, and computer scientist known for his work in data mining, web search, and co-authoring the influential textbook "Mining of Massive Datasets."
-
D.
Sendhil Ramamurthy
Sendhil Ramamurthy is an American actor best known for his role as geneticist Mohinder Suresh on the television series "Heroes."
-
E.
Rishikesha T. Krishnan
Rishikesha T. Krishnan is an Indian management scholar and academic leader known for his work on innovation and strategy, and for serving as director of leading Indian Institutes of Management.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karthik Narasimhan Target entity description: Karthik Narasimhan is a computer scientist and AI researcher known for his work in natural language processing and as a co-author of early large language model research at OpenAI.
-
A.
Ravi K. Chandran
Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
-
B.
Arvind Neelakantan
chosen
Arvind Neelakantan is a researcher in artificial intelligence and machine learning known for his work on large language models and neural network architectures.
-
C.
Anand Rajaraman
Anand Rajaraman is an entrepreneur, academic, and computer scientist known for his work in data mining, web search, and co-authoring the influential textbook "Mining of Massive Datasets."
-
D.
Sendhil Ramamurthy
Sendhil Ramamurthy is an American actor best known for his role as geneticist Mohinder Suresh on the television series "Heroes."
-
E.
Rishikesha T. Krishnan
Rishikesha T. Krishnan is an Indian management scholar and academic leader known for his work on innovation and strategy, and for serving as director of leading Indian Institutes of Management.
- F. None of above.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a16e20819080baa5112f000b41 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.