Triple
T24707279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Preston Plumber |
E611927
|
entity |
| Predicate | professionOutsideFootball |
P72439
|
FINISHED |
| Object | plumber |
—
|
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: plumber | Statement: [The Preston Plumber, professionOutsideFootball, plumber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionOutsideFootball Context triple: [The Preston Plumber, professionOutsideFootball, plumber]
-
A.
hasProfessionOutsideFootball
chosen
Indicates that a person involved in football also holds a separate professional occupation outside of football.
-
B.
professionalSports
Indicates that the entities are connected through participation in or association with professional-level sports activities or organizations.
-
C.
professionalBase
Indicates that one entity serves as the primary professional location, organization, or base of operations for another entity.
-
D.
careerOPS
Indicates a relationship where an entity’s career on-base plus slugging (OPS) statistic is recorded or associated with that entity.
-
E.
leftProfession
Indicates that an entity has stopped or abandoned a particular profession or occupation they previously held.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.