Triple
T25355509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Flaco Explosivo |
E635809
|
entity |
| Predicate | hasAliasOfPerson |
P111098
|
FINISHED |
| Object | Alexis Argüello |
—
|
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: Alexis Argüello | Statement: [El Flaco Explosivo, hasAliasOfPerson, Alexis Argüello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAliasOfPerson Context triple: [El Flaco Explosivo, hasAliasOfPerson, Alexis Argüello]
-
A.
isAliasOf
chosen
Indicates that one name, label, or identifier refers to the same entity as another.
-
B.
hasOccupationUnderAlias
Indicates that an entity holds or held a particular occupation while using a specific alias or alternate name.
-
C.
hasAliasUser
Indicates that a user is known or referred to by an alternative name or identifier.
-
D.
hasAuthorAlias
Indicates that an entity (such as a person or author record) is known by an alternative name or pseudonym used as an author.
-
E.
hasFictionalAlias
Indicates that an entity is known by an alternative name or identity within a fictional context.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 1:35 p.m.