Triple
T29340995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Executor |
E744035
|
entity |
| Predicate | featuresEnemyFaction |
P53524
|
FINISHED |
| Object | Imperial stormtroopers |
—
|
NE NERFINISHED |
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: Imperial stormtroopers | Statement: [The Executor, featuresEnemyFaction, Imperial stormtroopers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEnemyFaction Context triple: [The Executor, featuresEnemyFaction, Imperial stormtroopers]
-
A.
featuresPlayableFaction
Indicates that a game or scenario includes a faction that players can actively control or play as.
-
B.
hasOpposingFaction
chosen
Indicates that one faction stands in opposition or conflict to another faction.
-
C.
featuresAntagonistEntity
Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
-
D.
gameFaction
Indicates that an entity belongs to, is aligned with, or is a member of a particular faction within a game.
-
E.
factionType
Indicates the classification or category of a faction within a broader system 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: April 28, 2026, 1:33 p.m.