Triple
T31232038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reprisal! |
E796308
|
entity |
| Predicate | hasRaciallyMixedProtagonist |
P185224
|
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: [Reprisal!, hasRaciallyMixedProtagonist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRaciallyMixedProtagonist Context triple: [Reprisal!, hasRaciallyMixedProtagonist, true]
-
A.
includesMixedSexRace
Indicates that the group or context involves individuals of more than one sex and more than one race.
-
B.
featuresInterracialCasting
Indicates that the work includes casting choices where performers of different racial backgrounds appear together in significant roles or interactions.
-
C.
protagonistEthnicity
Indicates the ethnic background or cultural heritage associated with a work’s main character.
-
D.
hasEthnicallyMixedPopulation
Indicates that a population is composed of people from multiple distinct ethnic groups rather than being ethnically homogeneous.
-
E.
hasRacialTheme
Indicates that something contains or centers on themes, issues, or representations related to race or racial identity.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 29, 2026, 9:10 p.m.