Triple
T20751882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitra |
E510741
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Madana |
—
|
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: Madana | Statement: [Chitra, character, Madana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madana Context triple: [Chitra, character, Madana]
-
A.
Madana
chosen
Madana is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
-
B.
Merani
Merani is a renowned Romantic-era Georgian poem by Nikoloz Baratashvili that explores themes of fate, sacrifice, and national identity.
-
C.
Manasa
Manasa is a Hindu serpent goddess primarily worshipped in eastern India as a protector against snakebites and a granter of fertility and prosperity.
-
D.
Madra
Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
-
E.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22ad0c8819087a8db2bac8dd408 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.