Triple
T33210683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Dockery |
E850148
|
entity |
| Predicate | countryWhereCareerRebuilt |
P202534
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Rick Dockery, countryWhereCareerRebuilt, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryWhereCareerRebuilt Context triple: [Rick Dockery, countryWhereCareerRebuilt, Italy]
-
A.
countryForInternationalCareer
Indicates the country in which an individual pursued or represented their international-level career (e.g., in sports, arts, or professional domains).
-
B.
countryOfEmployer
Indicates the country in which the employer of a given person or entity is based.
-
C.
homeCountryForRecruiting
Indicates that a particular country is used as the primary or designated base for recruiting individuals or resources.
-
D.
countryOfExperience
Indicates that an entity has gained experience (such as work, study, or professional activity) within the specified country.
-
E.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a008e29f76881908e656dbbd7fceea3 |
completed | May 10, 2026, 1:54 p.m. |
| PD | Predicate disambiguation | batch_6a008dc01b308190bc26e69814692f82 |
completed | May 10, 2026, 1:53 p.m. |
| PDg | Predicate description generation | batch_6a008e29394481909b8d124c8265141f |
completed | May 10, 2026, 1:54 p.m. |
Created at: May 1, 2026, 1:30 a.m.