Triple
T19596960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga (Hindu mythology) |
E470371
|
entity |
| Predicate | genderForms |
P17779
|
FINISHED |
| Object | Nagi (female) |
—
|
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: Nagi (female) | Statement: [Naga (Hindu mythology), genderForms, Nagi (female)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagi (female) Context triple: [Naga (Hindu mythology), genderForms, Nagi (female)]
-
A.
Nari
Nari is a groundbreaking feminist work by Bangladeshi writer and scholar Humayun Azad that critically examines the oppression and social position of women in Bengali and broader South Asian society.
-
B.
Nari
Nari is a lesser-known figure in Norse mythology, traditionally described as one of the sons of Loki and Sigyn.
-
C.
Nikiya
Nikiya is the tragic temple dancer heroine of the classical ballet *La Bayadère*, renowned for her ethereal presence and doomed love story.
-
D.
Onna
chosen
Onna is a feminine given name that can be used in various cultures and contexts.
-
E.
Onna
Onna is a small village in the Dutch municipality of Steenwijkerland in the province of Overijssel.
- 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_69e6407b997881909762c8f919c9cdad |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.