Triple
T5759354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandana Sen |
E127049
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nandana |
E452917
|
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: Nandana | Statement: [Nandana Sen, givenName, Nandana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandana Context triple: [Nandana Sen, givenName, Nandana]
-
A.
Nandana
chosen
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
B.
Indrani
Indrani is a Hindu goddess revered as the queen of the gods and a powerful deity associated with beauty, jealousy, and sovereignty.
-
C.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
-
D.
Darshani Deori
Darshani Deori is the main ceremonial gateway leading to the Harmandir Sahib (Golden Temple) complex in Amritsar, serving as a sacred entrance for pilgrims.
-
E.
Swarup Rani
Swarup Rani was an Indian freedom fighter and political activist known for her role in the independence movement and as the wife of prominent nationalist Motilal Nehru.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0293771ec8190a0082685327d649b |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfa363208190aac75f028fb7a630 |
completed | March 23, 2026, 4:20 a.m. |
Created at: March 22, 2026, 3:49 p.m.