Triple
T21623649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anoushka Sunak |
E533640
|
entity |
| Predicate | notableFamilyMember |
P367
|
FINISHED |
| Object | Sudha Murty |
—
|
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: Sudha Murty | Statement: [Anoushka Sunak, notableFamilyMember, Sudha Murty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudha Murty Context triple: [Anoushka Sunak, notableFamilyMember, Sudha Murty]
-
A.
Sudha Murty
chosen
Sudha Murty is an Indian author, philanthropist, and chairperson of the Infosys Foundation, known for her extensive social work and popular writings in English and Kannada.
-
B.
Arundhati Devi
Arundhati Devi was an Indian actress, filmmaker, and writer known for her work in Bengali cinema and contributions to mid-20th-century Indian film and literature.
-
C.
Kamala Devi
Kamala Devi is an Indian-born actress known for her roles in American Western films and television during the 1960s.
-
D.
Esther Ananthamurthy
Esther Ananthamurthy is an Indian educator and cultural figure known for her contributions to academia and for being married to renowned Kannada writer U. R. Ananthamurthy.
-
E.
Namita Gokhale
Namita Gokhale is an Indian writer, publisher, and literary curator best known for her novels and for shaping contemporary literary culture in India.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef521125f481909ccfc95d884976e2 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.