Triple
T16235926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amisha Patel |
E394110
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Amisha Patel |
E394110
|
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: Amisha Patel | Statement: [Amisha Patel, name, Amisha Patel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amisha Patel Context triple: [Amisha Patel, name, Amisha Patel]
-
A.
Amisha Patel
chosen
Amisha Patel is an Indian film actress best known for her roles in popular Hindi movies such as "Kaho Naa... Pyaar Hai" and "Gadar: Ek Prem Katha."
-
B.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
C.
Anisha Nagarajan
Anisha Nagarajan is an American actress best known for her role as Madhuri on the NBC sitcom "Outsourced."
-
D.
Allie Rajan
Allie Rajan is a forensic scientist and key investigator featured as one of the central protagonists in the crime drama series CSI: Vegas.
-
E.
Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455abc608190ba3308c15c9e8a23 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed8cbe48190be68ccade55211ad |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.