Triple
T36731758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philomele |
E907357
|
entity |
| Predicate | perpetratorOfViolenceAgainst |
P51439
|
FINISHED |
| Object | Tereus (as part of revenge, in some versions) |
—
|
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: Tereus (as part of revenge, in some versions) | Statement: [Philomele, perpetratorOfViolenceAgainst, Tereus (as part of revenge, in some versions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorOfViolenceAgainst Context triple: [Philomele, perpetratorOfViolenceAgainst, Tereus (as part of revenge, in some versions)]
-
A.
usedViolenceAgainst
chosen
Indicates that one entity intentionally inflicted physical force or harm upon another entity.
-
B.
typeOfViolenceAddressed
Indicates the specific form or category of violence that is being targeted, dealt with, or addressed in a given context.
-
C.
perpetratorOfCrimeAgainst
Indicates that one entity is the person or group responsible for committing a crime against another entity.
-
D.
hasTypeOfViolence
Indicates that an entity involves, exhibits, or is characterized by a specific kind or category of violent behavior or action.
-
E.
perpetratorType
Indicates the classification or category of the entity that carried out or is responsible for a harmful, illegal, or otherwise wrongful act.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.