Triple
T9429494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maulik Pancholy |
E227335
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maulik Navin Pancholy |
E227335
|
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: Maulik Navin Pancholy | Statement: [Maulik Pancholy, name, Maulik Navin Pancholy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maulik Navin Pancholy Context triple: [Maulik Pancholy, name, Maulik Navin Pancholy]
-
A.
Maulik Pancholy
chosen
Maulik Pancholy is an American actor and author best known for his comedic television roles, including his portrayal of Jonathan on the sitcom "30 Rock."
-
B.
Utkarsh Ambudkar
Utkarsh Ambudkar is an American actor, rapper, and singer known for his work in film, television, and theater, including roles in projects like "Pitch Perfect," "Brittany Runs a Marathon," and the TV series "Ghosts."
-
C.
Nick Mehta
Nick Mehta is a technology executive best known as the CEO of Gainsight and a prominent advocate and thought leader in the field of customer success.
-
D.
Rahul Bhatia
Rahul Bhatia is an Indian businessman best known as the co-founder and key architect of IndiGo’s rise into India’s largest low-cost airline.
-
E.
Pranav Shyam
Pranav Shyam is a computer scientist and AI researcher known for co-authoring influential work in large-scale language models alongside Tom B. Brown and others.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.