Triple
T22023258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood and Water |
E543893
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Anita Kapila |
—
|
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: Anita Kapila | Statement: [Blood and Water, executiveProducer, Anita Kapila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Kapila Context triple: [Blood and Water, executiveProducer, Anita Kapila]
-
A.
Anita Kapila
chosen
Anita Kapila is a television writer and producer best known for creating the Canadian teen drama series "Blood and Water."
-
B.
Anita Bhalla
Anita Bhalla is a British media executive and former BBC journalist known for her leadership roles in broadcasting and public service in the UK.
-
C.
Anita Kanwar
Anita Kanwar is an Indian actress best known for her acclaimed roles in parallel cinema and television, particularly the landmark TV series "Buniyaad."
-
D.
Anita Bhogle
Anita Bhogle is an Indian sports marketing professional, author, and co-founder of the consultancy Prosearch, known for her work on applying sports-based insights to business and leadership.
-
E.
Rukmini Haran
Rukmini Haran is a devotional Assamese literary work by the saint-scholar Srimanta Sankardev, narrating the story of Rukmini and her marriage to Krishna.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.