Triple
T10282414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aileen Wuornos |
E241133
|
entity |
| Predicate | claimedMotive |
P27023
|
FINISHED |
| Object | self-defense against clients who allegedly assaulted her |
—
|
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: self-defense against clients who allegedly assaulted her | Statement: [Aileen Wuornos, claimedMotive, self-defense against clients who allegedly assaulted her]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimedMotive Context triple: [Aileen Wuornos, claimedMotive, self-defense against clients who allegedly assaulted her]
-
A.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
claimsToExplain
chosen
Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
-
C.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
D.
motive
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
E.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:39 a.m.