Triple
T3455999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reynolds |
E72904
|
entity |
| Predicate | roleInIndurainCareer |
P19243
|
FINISHED |
| Object | first professional team of Miguel Indurain |
—
|
LITERAL FINISHED |
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: first professional team of Miguel Indurain | Statement: [Reynolds, roleInIndurainCareer, first professional team of Miguel Indurain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInIndurainCareer Context triple: [Reynolds, roleInIndurainCareer, first professional team of Miguel Indurain]
-
A.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
B.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
C.
partOfCareer
chosen
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa77b9c81909376a5995cdaf6ac |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.