Triple
T14729593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Wedding massacre |
E346035
|
entity |
| Predicate | targetsFaction |
P53524
|
FINISHED |
| Object | Northern army |
—
|
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: Northern army | Statement: [Red Wedding massacre, targetsFaction, Northern army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsFaction Context triple: [Red Wedding massacre, targetsFaction, Northern army]
-
A.
hasOpposingFaction
chosen
Indicates that one faction stands in opposition or conflict to another faction.
-
B.
targetsAsRacialEnemy
Indicates that one party identifies and treats another party as an enemy specifically on the basis of their race.
-
C.
hasFaction
Indicates that an entity is affiliated with, belongs to, or is represented by a particular faction or group.
-
D.
targetsSystems
Indicates that an entity is directed at, attacks, or is intended to affect specific systems.
-
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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.