Triple
T28770047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco Escobar |
E726385
|
entity |
| Predicate | hasPlayedAsExpatriateIn |
P99007
|
FINISHED |
| Object | United States of America |
—
|
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: United States of America | Statement: [Franco Escobar, hasPlayedAsExpatriateIn, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedAsExpatriateIn Context triple: [Franco Escobar, hasPlayedAsExpatriateIn, United States of America]
-
A.
hasPlayedOverseas
chosen
Indicates that an individual has participated in their professional or competitive activity in a country other than their home country.
-
B.
livedAbroadAsChild
Indicates that a person spent part of their childhood residing in a foreign country.
-
C.
locatedInOverseasCountry
Indicates that an entity is situated in a country that is overseas relative to a given reference location or jurisdiction.
-
D.
hasBranchResidenceIn
Indicates that an organization maintains a branch or subsidiary located in a specified place or jurisdiction.
-
E.
hasPlayedInCountry
Indicates that an entity (typically a person or team) has participated in a game, match, or performance within a specified country.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 28, 2026, 6:15 a.m.