Triple
T30613664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Kaplan |
E779254
|
entity |
| Predicate | factionOpposedTo |
P53524
|
FINISHED |
| Object | First Order |
—
|
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: First Order | Statement: [Colonel Kaplan, factionOpposedTo, First Order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factionOpposedTo Context triple: [Colonel Kaplan, factionOpposedTo, First Order]
-
A.
opposingPoliticalFaction
Indicates that two entities belong to political groups or factions that are in conflict or opposition to each other.
-
B.
hasOpposingFaction
chosen
Indicates that one faction stands in opposition or conflict to another faction.
-
C.
oppositionAlliance
Indicates a relationship where entities form or belong to an alliance that is collectively opposed to another entity or group.
-
D.
opposingAlliance
Indicates that two entities belong to rival or mutually opposed alliances or factions.
-
E.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689e8dfe4819087b2c5f7ee54151e |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:26 p.m.