Triple
T10888204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gita Bose |
E257105
|
entity |
| Predicate | hasOnomasticNotabilityReason |
P7885
|
FINISHED |
| Object | bearing the Bose surname associated with prominent South Asian figures |
—
|
LITERAL 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: bearing the Bose surname associated with prominent South Asian figures | Statement: [Gita Bose, hasOnomasticNotabilityReason, bearing the Bose surname associated with prominent South Asian figures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnomasticNotabilityReason Context triple: [Gita Bose, hasOnomasticNotabilityReason, bearing the Bose surname associated with prominent South Asian figures]
-
A.
hasNamesakeNotability
Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
-
B.
hasNotableToponym
Indicates that an entity is associated with a place name that is particularly notable, distinctive, or significant.
-
C.
reasonForEpithet
Indicates the cause, motivation, or circumstance that explains why a particular epithet is applied to an entity.
-
D.
reasonForName
chosen
Indicates the explanation or cause behind why an entity has a particular name.
-
E.
commonInOnomastics
Indicates that a name, term, or pattern frequently appears or is widely used within the study and practice of naming (onomastics).
- F. None of above.
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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75201e6888190a2bc41a17784eec3 |
completed | April 9, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.