Triple
T20305985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjaneya |
E505609
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Anjana |
—
|
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: Anjana | Statement: [Anjaneya, parent, Anjana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjana Context triple: [Anjaneya, parent, Anjana]
-
A.
Anjana
chosen
Anjana is a revered figure in Hindu mythology, best known as the mother of the monkey-god Hanuman and often depicted as a celestial nymph who took birth on earth.
-
B.
Anjana Vasan
Anjana Vasan is a Singaporean-born Indian actress and singer known for her acclaimed performance in the British comedy series "We Are Lady Parts" and her work on stage and screen in the UK.
-
C.
Aradhana
Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
-
D.
Naina
Naina is a feminine given name commonly used in various cultures, including Russian and South Asian contexts.
-
E.
Damini
Damini is a critically acclaimed 1993 Indian Hindi-language courtroom drama film directed by Rajkumar Santoshi, known for its powerful portrayal of a woman's fight for justice.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.