Triple
T20229736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nīlakaṇṭha |
E495481
|
entity |
| Predicate | honorificFor |
P2097
|
FINISHED |
| Object | Mahadeva (Great God) |
—
|
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: Mahadeva (Great God) | Statement: [Nīlakaṇṭha, honorificFor, Mahadeva (Great God)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahadeva (Great God) Context triple: [Nīlakaṇṭha, honorificFor, Mahadeva (Great God)]
-
A.
Mahadeva
chosen
Mahadeva is a principal form of the Hindu god Shiva, revered as the supreme deity and great lord in Shaivism.
-
B.
Mahadev
Mahadev is the naive yet well-meaning aspiring writer who serves as the central protagonist and narrator in the satirical Hindi film "Welcome to Sajjanpur."
-
C.
Satyashraya Deva
Satyashraya Deva was a historical Indian ruler, likely a king or noble associated with the title "Satyashraya" in a regional dynasty.
-
D.
Vighneshvara
Vighneshvara is a prominent form of the Hindu god Ganesha, revered as the remover of obstacles and patron of beginnings and wisdom.
-
E.
Purandara Bhairava
Purandara Bhairava is a deity or legendary figure in Hindu tradition after whom the historic Purandar Fort in Maharashtra, India, is named.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdc2590819089a946d16c6c0e59 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.