Triple
T37595038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaimanitas neighborhood |
E935360
|
entity |
| Predicate | hasInfluentialPerson |
P203104
|
FINISHED |
| Object | José Fuster |
—
|
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: José Fuster | Statement: [Jaimanitas neighborhood, hasInfluentialPerson, José Fuster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfluentialPerson Context triple: [Jaimanitas neighborhood, hasInfluentialPerson, José Fuster]
-
A.
influencedPerson
Indicates that one entity has affected, shaped, or guided the thoughts, behavior, or development of another person.
-
B.
hasInfluentialStatus
Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
-
C.
hasInfluentialAuthor
Indicates that an entity has an author whose work has had significant impact or influence in a relevant domain.
-
D.
hasSignificantInfluenceIn
Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
-
E.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
- F. None of above. chosen
Provenance (4 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01203ac018819085d7c9abd8345b23 |
completed | May 11, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_6a011f3f149c819090749722da0e3413 |
completed | May 11, 2026, 12:13 a.m. |
| PDg | Predicate description generation | batch_6a01203a1c188190874d87d148dfa8e4 |
completed | May 11, 2026, 12:18 a.m. |
Created at: May 3, 2026, 4:18 p.m.