Triple
T34009171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | González Markmann |
E872058
|
entity |
| Predicate | hasGivenNamePortion |
P126185
|
FINISHED |
| Object | González |
—
|
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: González | Statement: [González Markmann, hasGivenNamePortion, González]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenNamePortion Context triple: [González Markmann, hasGivenNamePortion, González]
-
A.
givenNamePortion
chosen
Indicates that one string represents a portion or segment of a person's given (first) name.
-
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.
hasGivenNameTo
Indicates that one entity has assigned or provided a given (first) name to another entity.
-
E.
hasGivenNameBasis
Indicates that one entity’s given name is derived from, based on, or formed using another entity (such as a name, word, or person) as its basis.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.