Triple
T27553891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marife Torres |
E695582
|
entity |
| Predicate | spouseOfConvictedPerson |
P55300
|
FINISHED |
| Object | Terry Nichols |
—
|
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: Terry Nichols | Statement: [Marife Torres, spouseOfConvictedPerson, Terry Nichols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfConvictedPerson Context triple: [Marife Torres, spouseOfConvictedPerson, Terry Nichols]
-
A.
spouseConvictionPenalty
Indicates that a penalty or sentence resulting from a conviction applies to, or is associated with, a person’s spouse.
-
B.
spouseInvolvedIn
chosen
Indicates that a person's spouse participates in, is associated with, or plays a role in a specified activity, event, or situation.
-
C.
forcedSpouse
Indicates a marital relationship in which at least one spouse was compelled or coerced into the marriage against their will.
-
D.
convictedAlongside
Indicates that one entity was convicted in a legal proceeding together with another entity as co-defendants in the same case or trial.
-
E.
convictedIndividual
Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 1:36 p.m.