Triple
T21094102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor Shesterkin |
E519714
|
entity |
| Predicate | playsInMetropolitanDivision |
P123503
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Igor Shesterkin, playsInMetropolitanDivision, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInMetropolitanDivision Context triple: [Igor Shesterkin, playsInMetropolitanDivision, true]
-
A.
playsInConferenceOrDivision
chosen
Indicates that an entity (such as a team or player) participates in or is affiliated with a particular conference or division within a larger organization or league.
-
B.
ownsFranchiseInDivision
Indicates that an entity holds ownership rights to a franchise that operates within a specified division.
-
C.
teamPlaysIn
Indicates that a specific sports team participates or competes in a particular league, division, or competition.
-
D.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
-
E.
playedForCity
Indicates that an entity (typically a person or team) has been a member of or represented a sports team or organization based in a particular city.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e709517a18819081ede1d38e2c4391 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:51 p.m.