Triple
T26206249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | While You See a Chance |
E655363
|
entity |
| Predicate | eraInCareer |
P37944
|
FINISHED |
| Object | early solo career of Steve Winwood |
—
|
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: early solo career of Steve Winwood | Statement: [While You See a Chance, eraInCareer, early solo career of Steve Winwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraInCareer Context triple: [While You See a Chance, eraInCareer, early solo career of Steve Winwood]
-
A.
teamStatusDuringCareer
Indicates the status or role of a team in relation to an entity over the course of that entity’s career.
-
B.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
C.
refersToEraOfCareer
chosen
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
D.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
E.
playedCareerStartYear
Indicates the calendar year in which an entity’s playing career (such as a professional or competitive role) began.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60cdf0c6c8190ad17f78bc7f79a9b |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:50 p.m.