Triple
T17952941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aditya Hridayam |
E448875
|
entity |
| Predicate | addressedTo |
P265
|
FINISHED |
| Object | Aditya |
—
|
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: Aditya | Statement: [Aditya Hridayam, addressedTo, Aditya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aditya Context triple: [Aditya Hridayam, addressedTo, Aditya]
-
A.
Aditya
chosen
Aditya is a Hindu solar deity associated with the group of Vedic sun gods known as the Adityas.
-
B.
Vikram
Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
-
C.
Vikram
Vikram is the lunar lander of India’s Chandrayaan-2 mission, designed to attempt a soft landing near the Moon’s south polar region.
-
D.
Vikram
Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
-
E.
Nishant
Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afad61f481908b34cd24de88983c |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.