Triple
T21108748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godan |
E520121
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mehta |
—
|
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: Mehta | Statement: [Godan, mainCharacter, Mehta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehta Context triple: [Godan, mainCharacter, Mehta]
-
A.
Mehta
chosen
Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
-
B.
Shashi
Shashi is an Indian given name commonly used for both males and females, often associated with the moon or moonlight in Sanskrit.
-
C.
Subhash
Subhash is one of the central protagonists of Jhumpa Lahiri’s novel "The Lowland," depicted as a thoughtful, reserved brother whose life diverges sharply from his more radical sibling’s amid political turmoil in India.
-
D.
Tehmina Mehta
Tehmina Mehta is known as the wife of Indian conductor Mehli Mehta and a member of the prominent Mehta musical family.
-
E.
Gaghan
Gaghan is the surname of Stephen Gaghan, an American screenwriter and director known for works like "Traffic" and "Syriana."
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720ffa998819082db225363ac3b23 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.