Triple
T2120372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duel at Diablo |
E43905
|
entity |
| Predicate | portraysNativeAmericans |
P34958
|
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: [Duel at Diablo, portraysNativeAmericans, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysNativeAmericans Context triple: [Duel at Diablo, portraysNativeAmericans, true]
-
A.
treatmentOfIndigenousPeople
Indicates how indigenous people are treated, including the nature, quality, and consequences of actions or policies directed toward them.
-
B.
nearNativeAmericanNation
Indicates that one entity is geographically close to the territory or recognized lands of a Native American nation.
-
C.
culturalDepictionBy
Indicates that one entity serves as the creator or source of a cultural representation or portrayal of another entity.
-
D.
challengesPortrayalOf
Indicates that one entity questions, disputes, or undermines the way another entity is represented or depicted.
-
E.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3404348190bc843022fbd2b4d0 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.