Triple
T3969545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianne Mithun |
E92295
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marianne Mithun |
E92295
|
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: Marianne Mithun | Statement: [Marianne Mithun, name, Marianne Mithun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Mithun Context triple: [Marianne Mithun, name, Marianne Mithun]
-
A.
Marianne Mithun
chosen
Marianne Mithun is an American linguist renowned for her extensive work on Native American languages, language typology, and the documentation of endangered languages.
-
B.
Mona Kapoor
Mona Kapoor was an Indian television and film producer best known as the first wife of Bollywood film producer Boney Kapoor and mother of actor Arjun Kapoor.
-
C.
Riya Sen
Riya Sen is an Indian actress and model known for her work in Hindi, Bengali, and other regional films, as well as for her prominent presence in Indian popular culture and fashion.
-
D.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
E.
Nandana Sen
Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef992d6bc8190be1b244eb87f2964 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54006b5e48190973e30055a0893a5 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.