Triple
T22312332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parashu Rama |
E551548
|
entity |
| Predicate | immortalityStatus |
P7319
|
FINISHED |
| Object | Chiranjivi |
—
|
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: Chiranjivi | Statement: [Parashu Rama, immortalityStatus, Chiranjivi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiranjivi Context triple: [Parashu Rama, immortalityStatus, Chiranjivi]
-
A.
Chiranjivi
chosen
Chiranjivi are legendary immortal beings in Hindu mythology who are believed to live through multiple ages of the world.
-
B.
Nandini
Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
-
C.
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.
-
D.
Rajshree
Rajshree is an Indian actress best known for her roles in 1960s Hindi cinema, including the classic film "Dosti."
-
E.
Devika
Devika is a supporting character in the 1992 Indian sports drama film "Jo Jeeta Wohi Sikandar," known as one of the students in the elite Rajput College.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574f97cc81909685aeef15d02af9 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.