Triple
T22283829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shreyas Iyer |
E550806
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shreyas |
—
|
NE NERFINISHED |
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: Shreyas | Statement: [Shreyas Iyer, givenName, Shreyas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shreyas Context triple: [Shreyas Iyer, givenName, Shreyas]
-
A.
Shreyas Jain
Shreyas Jain is an Indian screenwriter best known for co-writing the critically acclaimed and commercially successful Bollywood film "Dangal."
-
B.
Shreyas Santosh Iyer
chosen
Shreyas Santosh Iyer is an Indian international cricketer known as a stylish middle-order batsman who has captained the Delhi Capitals in the Indian Premier League.
-
C.
Nishant
Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
-
D.
Varun Krishna
Varun Krishna is a business executive known for his leadership role at Rocket Companies, Inc., a major U.S.-based fintech and mortgage lending firm.
-
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 (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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15605a8448190906a0ab9ffa4260b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:40 p.m.