Triple
T12671297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siddhartha Khosla |
E302687
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Siddhartha Khosla |
E302687
|
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: Siddhartha Khosla | Statement: [Siddhartha Khosla, name, Siddhartha Khosla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siddhartha Khosla Context triple: [Siddhartha Khosla, name, Siddhartha Khosla]
-
A.
Siddhartha Khosla
chosen
Siddhartha Khosla is an Emmy-nominated Indian-American composer and songwriter known for his television scores, including his acclaimed work on the series "Only Murders in the Building" and "This Is Us."
-
B.
Parag Agrawal
Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
-
C.
Anant Agarwal
Anant Agarwal is a computer scientist and MIT professor best known as the founding CEO of edX, a major online learning platform.
-
D.
Ian Edelman
Ian Edelman is a writer and producer best known for creating the animated musical television special "Entergalactic" in collaboration with Kid Cudi.
-
E.
Prashant Damle
Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6689019988190ae3a3a52be45c83a |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.