Triple
T9119278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjna |
E218802
|
entity |
| Predicate | hasDouble |
P85239
|
FINISHED |
| Object | Chhaya |
E448869
|
NE FINISHED |
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: Chhaya | Statement: [Sanjna, hasDouble, Chhaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chhaya Context triple: [Sanjna, hasDouble, Chhaya]
-
A.
Chhaya
chosen
Chhaya is a figure in Hindu mythology known as the shadow-consort of the sun god Surya and the mother of several important deities.
-
B.
Chandrila
Chandrila is a Core Worlds planet in the Star Wars universe known for its peaceful, democratic traditions and as the home of notable political and Resistance figures.
-
C.
Chandni
Chandni is a popular 1989 Hindi romantic musical film starring Sridevi, celebrated for its songs, emotional storyline, and her iconic performance.
-
D.
Kaala
Kaala is a 2018 Indian Tamil-language action drama film starring Rajinikanth as a slum leader fighting for the rights of oppressed people in Mumbai.
-
E.
Chandramukhi
Chandramukhi is a courtesan and one of the central tragic figures in Sarat Chandra Chattopadhyay’s novel "Devdas," known for her deep, unrequited love and devotion to the protagonist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0307c9f608190aad73bcf82ae334e |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:17 p.m.