Triple
T28861552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anupam Kher |
E728876
|
entity |
| Predicate | familyNameTakenFrom |
P54694
|
FINISHED |
| Object | his mother’s surname Kher |
—
|
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: his mother’s surname Kher | Statement: [Anupam Kher, familyNameTakenFrom, his mother’s surname Kher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyNameTakenFrom Context triple: [Anupam Kher, familyNameTakenFrom, his mother’s surname Kher]
-
A.
familyName
Indicates that one entity is the family (last) name associated with another entity (typically a person).
-
B.
familyNameDerivedFrom
chosen
Indicates that one entity’s family name originates from, or is etymologically derived from, another entity.
-
C.
familyNameIn
Indicates that an entity has a specified family name (surname) in a particular language or cultural context.
-
D.
familyNamePart
Indicates that one string is a component or segment of a person's full family name.
-
E.
nameFamily
Indicates that one entity is the family name (surname) of another entity.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 6:47 a.m.