Triple
T18387957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narayan |
E449640
|
entity |
| Predicate | variantForm |
P4680
|
FINISHED |
| Object | Narain |
E743921
|
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: Narain | Statement: [Narayan, variantForm, Narain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narain Context triple: [Narayan, variantForm, Narain]
-
A.
Narain
chosen
Narain is an Indian actor known for his work in Tamil and Malayalam cinema, often appearing in action and thriller films.
-
B.
Vaz Pinto
Vaz Pinto is a Portuguese surname associated with figures such as Catarina de Almeida Vaz Pinto, a notable cultural and political personality in Portugal.
-
C.
Ayrton
Ayrton is the given name of legendary Brazilian Formula One driver Ayrton Senna, widely regarded as one of the greatest racing drivers in history.
-
D.
Bharat Arun
Bharat Arun is a former Indian cricketer and renowned fast-bowling coach who has played a key role in developing several of India's leading pace bowlers.
-
E.
Balotra
Balotra is a town in the Indian state of Rajasthan, known as a regional commercial center and textile hub within the Barmer district.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d786ac888190bc5984ee83ea6e0f |
completed | May 13, 2026, 1:44 a.m. |
Created at: April 10, 2026, 10:46 a.m.