Triple
T32093768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Smith |
E819669
|
entity |
| Predicate | clubTenure |
P20571
|
FINISHED |
| Object | Kobelco Steelers |
—
|
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: Kobelco Steelers | Statement: [Ben Smith, clubTenure, Kobelco Steelers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubTenure Context triple: [Ben Smith, clubTenure, Kobelco Steelers]
-
A.
teamTenure
chosen
Indicates the duration or length of time an entity has been part of a particular team.
-
B.
coachTenureIncludes
Indicates that a coach’s period of service or employment with a team or organization covers or includes a specified time span or event.
-
C.
denotesTenure
Indicates that one entity holds or has held a position, role, or office at another entity for a specified period of time.
-
D.
membershipDuration
Indicates the length of time an entity has been a member of a particular group, organization, or system.
-
E.
notableHostTenure
Indicates that an entity is recognized for having a significant or distinguished period of serving as a host of something (e.g., a show, event, or program).
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b63f9da88190975712a5644500c7 |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:25 a.m.