Triple
T38696718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcela |
E950020
|
entity |
| Predicate | isOneOfGivenNamesOf |
P158012
|
FINISHED |
| Object | Alexia Juliana Marcela Laurentien |
—
|
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: Alexia Juliana Marcela Laurentien | Statement: [Marcela, isOneOfGivenNamesOf, Alexia Juliana Marcela Laurentien]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfGivenNamesOf Context triple: [Marcela, isOneOfGivenNamesOf, Alexia Juliana Marcela Laurentien]
-
A.
isGivenName
chosen
Indicates that one entity is the personal (given) name of another entity.
-
B.
hasGivenNames
Indicates that an entity possesses one or more personal (given) names assigned to it.
-
C.
hasGivenNameWith
Indicates that an entity is associated with a specific given (first) name.
-
D.
hasNameInFamily
Indicates that an entity is known or referred to by a particular name within the context of a specific family or familial group.
-
E.
isGivenNameInCulture
Indicates that a particular given (first) name is used or recognized within a specified culture or cultural 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcea52dc6c81909ff3106790f3f346 |
completed | May 7, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69fce5b66de88190a2bd19665a699a3d |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:33 p.m.