Triple
T20805797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seletha Nagin |
E512149
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Nagin |
—
|
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: Nagin | Statement: [Seletha Nagin, hasFamilyName, Nagin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagin Context triple: [Seletha Nagin, hasFamilyName, Nagin]
-
A.
Nagin
chosen
Nagin is a surname most notably associated with Ray Nagin, the former mayor of New Orleans.
-
B.
Naagin
Naagin is a popular Indian supernatural fantasy television series centered on shape-shifting serpent beings, produced by Ekta Kapoor under Balaji Telefilms.
-
C.
Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
-
D.
Rajkahini
Rajkahini is a Bengali period drama film set against the backdrop of the 1947 Partition of Bengal, known for its ensemble cast of women and its exploration of displacement, violence, and identity.
-
E.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2cf1cbc819092d92625dfb107d0 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.