Triple
T5621981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parag |
E147628
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Parag Agrawal |
E27738
|
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: Parag Agrawal | Statement: [Parag, hasNotableBearer, Parag Agrawal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parag Agrawal Context triple: [Parag, hasNotableBearer, Parag Agrawal]
-
A.
Parag Agrawal
chosen
Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
-
B.
Anant Agarwal
Anant Agarwal is a computer scientist and MIT professor best known as the founding CEO of edX, a major online learning platform.
-
C.
Siddhartha Khosla
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."
-
D.
Sanjay Ghemawat
Sanjay Ghemawat is a prominent computer scientist and long-time Google engineer known for co-designing and implementing large-scale distributed systems such as MapReduce, Bigtable, and LevelDB.
-
E.
Scott Belsky
Scott Belsky is an American entrepreneur, author, and investor best known as the co-founder of the creative platform Behance and as a longtime product leader at Adobe.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022133eec819086acb04864dde5ee |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d59317c8190a4a3b186a46a7249 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.