Triple
T34083626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiv Roy |
E874115
|
entity |
| Predicate | hasPoliticalBackground |
P94882
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shiv Roy, hasPoliticalBackground, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalBackground Context triple: [Shiv Roy, hasPoliticalBackground, true]
-
A.
politicalBackground
chosen
Indicates the political history, affiliations, or ideological context associated with an entity.
-
B.
hasFamilyBackgroundIn
Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
-
C.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
D.
hasPoliticalCurrent
Indicates that an entity is associated with, aligned to, or characterized by a particular political current, ideology, or movement.
-
E.
hasPoliticalFigure
Indicates a relationship where an entity is associated with or includes a specific political figure in a relevant role or context.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: May 1, 2026, 1:52 a.m.