Triple
T34585218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patel: A Life |
E888023
|
entity |
| Predicate | hasBiographicalSubjectEthnicity |
P182440
|
FINISHED |
| Object | Indian |
—
|
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: Indian | Statement: [Patel: A Life, hasBiographicalSubjectEthnicity, Indian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBiographicalSubjectEthnicity Context triple: [Patel: A Life, hasBiographicalSubjectEthnicity, Indian]
-
A.
notableHistoricalFigureEthnicity
Indicates that a notable historical figure belongs to, or is identified with, a particular ethnic group.
-
B.
hasBiographicalSubjectRole
Indicates that a role is the biographical subject of a biographical work or account.
-
C.
hasBiographicalSubjectCitizenship
Indicates that the biographical subject holds or has held citizenship in the specified country or political entity.
-
D.
hasBiographicalSubjectRelationshipWith
Indicates that there exists a biographical relationship or connection between two entities, where one is the subject of biographical information in relation to the other.
-
E.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
- F. None of above. chosen
Provenance (4 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 1, 2026, 2:03 a.m.