Triple
T22557335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Althaemenes |
E557721
|
entity |
| Predicate | awarenessOfVictimIdentity |
P101515
|
FINISHED |
| Object | did not recognize Catreus when he killed him |
—
|
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: did not recognize Catreus when he killed him | Statement: [Althaemenes, awarenessOfVictimIdentity, did not recognize Catreus when he killed him]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awarenessOfVictimIdentity Context triple: [Althaemenes, awarenessOfVictimIdentity, did not recognize Catreus when he killed him]
-
A.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
B.
unawareOfTrueIdentityOf
chosen
Indicates that one entity does not know or recognize the real or actual identity of another entity.
-
C.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
D.
hasTypicalVictimRole
Indicates that an entity typically occupies the role of a victim in the context of a particular action, event, or relationship.
-
E.
hasTypeOfVictims
Indicates that an entity is associated with victims of a specified type or category.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.