Triple
T2325376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bose |
E48275
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Anita Bose Pfaff |
E84302
|
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: Anita Bose Pfaff | Statement: [Bose, notableBearer, Anita Bose Pfaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Bose Pfaff Context triple: [Bose, notableBearer, Anita Bose Pfaff]
-
A.
Anita Bose Pfaff
chosen
Anita Bose Pfaff is a German economist and academic, best known as the daughter of Indian independence leader Subhas Chandra Bose.
-
B.
Prabhavati Bose
Prabhavati Bose was an Indian woman best known as the mother of prominent freedom fighter and nationalist leader Subhas Chandra Bose.
-
C.
Madhabi Mukherjee
Madhabi Mukherjee is a renowned Indian actress best known for her powerful performances in classic Bengali films, particularly in collaboration with director Satyajit Ray.
-
D.
Suchitra Mitra
Suchitra Mitra was a renowned Indian Rabindra Sangeet exponent, singer, and educator celebrated for her interpretations of Rabindranath Tagore’s songs.
-
E.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc649af4481908fdc0bc7f4777b71 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896de2c48190ada0814d3a4f8497 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:50 p.m.