Triple
T4679468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilie Schenkl |
E103762
|
entity |
| Predicate | hasDescendant |
P3654
|
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: [Emilie Schenkl, hasDescendant, Anita Bose Pfaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Bose Pfaff Context triple: [Emilie Schenkl, hasDescendant, 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.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
E.
Ruma Bose
Ruma Bose is an entrepreneur, investor, and author known for her leadership roles in social impact ventures and global business initiatives.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636c105081908655ab384f539f38 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be105232e88190bb79bf52b58e1814 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.