Triple
T29703700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Renshaw |
E751563
|
entity |
| Predicate | motiveOfAttackAgainst |
P93246
|
FINISHED |
| Object | revenge |
—
|
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: revenge | Statement: [John Renshaw, motiveOfAttackAgainst, revenge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motiveOfAttackAgainst Context triple: [John Renshaw, motiveOfAttackAgainst, revenge]
-
A.
reasonForAttack
chosen
Indicates that one entity’s attack on another is motivated or caused by the specified reason.
-
B.
objectiveOfAttackers
Indicates the target or goal that attackers aim to reach or affect through their attack.
-
C.
aimOfAttacker
Indicates that a particular goal, target, or objective is what the attacker intends to achieve or affect.
-
D.
politicallyMotivatedAttack
Indicates an attack carried out primarily to achieve political objectives or influence political conditions, rather than for personal, criminal, or purely military reasons.
-
E.
aimsToEliminate
Indicates an intention or directed effort by one entity to remove, destroy, or completely get rid of another entity or condition.
- 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 7:26 p.m.