Triple
T24373740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Task Force Barker |
E614409
|
entity |
| Predicate | actionsCharacterizedAs |
P662
|
FINISHED |
| Object | massacre |
—
|
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: massacre | Statement: [Task Force Barker, actionsCharacterizedAs, massacre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actionsCharacterizedAs Context triple: [Task Force Barker, actionsCharacterizedAs, massacre]
-
A.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
B.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
C.
antagonistActionOf
Indicates that one entity performs an action in opposition or hostility toward another entity, acting as its antagonist.
-
D.
actAs
Indicates that one entity performs the function, role, or behavior of another entity, effectively serving or operating in its place.
-
E.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293d52f3481908bedc5844b3a8c5e |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.