Triple
T6099778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunga Din |
E135963
|
entity |
| Predicate | criticalDebate |
P57563
|
FINISHED |
| Object | discussed for its imperialist and racial attitudes |
—
|
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: discussed for its imperialist and racial attitudes | Statement: [Gunga Din, criticalDebate, discussed for its imperialist and racial attitudes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalDebate Context triple: [Gunga Din, criticalDebate, discussed for its imperialist and racial attitudes]
-
A.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
B.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
C.
keyFigureInDebate
Indicates that an entity plays a central, influential, or prominently recognized role in a particular debate or controversy.
-
D.
mainDebateTopic
Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
-
E.
debateTopic
chosen
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3970808190ba90f5e4235db9f2 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.