Triple
T19594915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sampati |
E470326
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Aruna |
—
|
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: Aruna | Statement: [Sampati, parent, Aruna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aruna Context triple: [Sampati, parent, Aruna]
-
A.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
B.
Aruna
chosen
Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
-
C.
Sarala
Sarala is the given name of Sarala Devi Chaudhurani, an Indian feminist, educationist, and nationalist leader active in the late 19th and early 20th centuries.
-
D.
Anuradha
Anuradha is a 1960 Indian Hindi-language romantic drama film, acclaimed for its sensitive storytelling and music, directed by Hrishikesh Mukherjee and starring Balraj Sahni and Leela Naidu.
-
E.
Anuradha
Anuradha is a Vedic astrology lunar mansion (nakshatra) associated with qualities of devotion, discipline, and success in partnerships.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640793cd88190b9b84491bfb2493f |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.