Triple
T6955948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Peletier |
E161242
|
entity |
| Predicate | abuseSurvivorOf |
P74284
|
FINISHED |
| Object | domestic abuse by Ed Peletier |
—
|
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: domestic abuse by Ed Peletier | Statement: [Carol Peletier, abuseSurvivorOf, domestic abuse by Ed Peletier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abuseSurvivorOf Context triple: [Carol Peletier, abuseSurvivorOf, domestic abuse by Ed Peletier]
-
A.
livedAfterAssault
Indicates that the subject continued to live for some period of time following the occurrence of an assault.
-
B.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
C.
survivingPerpetrators
Indicates that the referenced individuals are perpetrators of an act or event who are still alive following that act or event.
-
D.
typeOfAbuse
Indicates the specific kind or category of abusive behavior that one entity inflicts on another.
-
E.
coVictim
Indicates that two or more entities are victims in the same harmful event or incident.
- F. None of above. chosen
Provenance (4 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacf8c8c8190a25dbacebeb4b66e |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dacb524c81909aade2282a4c0c01 |
completed | March 27, 2026, 7:30 p.m. |
Created at: March 27, 2026, 2:29 p.m.