Triple
T13162183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subhash |
E312753
|
entity |
| Predicate | marries |
P23691
|
FINISHED |
| Object | Gauri |
E310675
|
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: Gauri | Statement: [Subhash, marries, Gauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gauri Context triple: [Subhash, marries, Gauri]
-
A.
Gauri
chosen
Gauri is a central character in Jhumpa Lahiri’s novel "The Lowland," whose life is shaped by political upheaval, personal loss, and the complexities of migration and identity.
-
B.
Gauri
Gauri is a revered Hindu goddess associated with purity, marital bliss, and fertility, often identified as a form of Parvati, the consort of Lord Shiva.
-
C.
Kuhelika
Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
-
D.
Shalini
Shalini is an Indian former film actress best known for her work as a child artist and leading lady in Malayalam and Tamil cinema.
-
E.
Bhairavi
Bhairavi is a fierce and transformative Hindu goddess associated with destruction, time, and spiritual awakening, revered as one of the ten Mahavidyas in Shakta tradition.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5e22458819097dc8d6708df5284 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:12 p.m.