Triple
T17854926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Victoria Henao |
E445905
|
entity |
| Predicate | spouseCriminalActivity |
P55300
|
FINISHED |
| Object | cocaine trafficking |
—
|
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: cocaine trafficking | Statement: [Maria Victoria Henao, spouseCriminalActivity, cocaine trafficking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseCriminalActivity Context triple: [Maria Victoria Henao, spouseCriminalActivity, cocaine trafficking]
-
A.
spouseInvolvedIn
chosen
Indicates that a person's spouse participates in, is associated with, or plays a role in a specified activity, event, or situation.
-
B.
spouseConvictionPenalty
Indicates that a penalty or sentence resulting from a conviction applies to, or is associated with, a person’s spouse.
-
C.
spousePoliticalActivity
Indicates that one person’s spouse engages in political actions, involvement, or advocacy connected to that person or their role.
-
D.
hasSpouseOrPartnerInLegalCaseWith
Indicates that two individuals are spouses or partners who are jointly involved in the same legal case.
-
E.
spouseAction
Indicates that one person performs an action toward or on their spouse within the context of a marital relationship.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978af9b0819091780281344f5352 |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.