Triple
T33881412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Frolík |
E868499
|
entity |
| Predicate | memberOfSportsTeamDuring |
P63605
|
FINISHED |
| Object | Chicago Blackhawks 2013 Stanley Cup team |
—
|
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: Chicago Blackhawks 2013 Stanley Cup team | Statement: [Michael Frolík, memberOfSportsTeamDuring, Chicago Blackhawks 2013 Stanley Cup team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfSportsTeamDuring Context triple: [Michael Frolík, memberOfSportsTeamDuring, Chicago Blackhawks 2013 Stanley Cup team]
-
A.
memberOfSportsTeamAsPlayer
chosen
Indicates that a person participates as a player on a specific sports team.
-
B.
memberOfSportsLeague
Indicates that an entity is formally part of, or participates as a member in, a specific sports league.
-
C.
memberOfSportsTeamOwned
Indicates that an entity is a member of a sports team that is owned by another specified entity.
-
D.
memberOfSportsTeamManaged
Indicates that an individual is a member of a sports team that is managed or coached by a specified person or organization.
-
E.
memberOfSportsOrganization
Indicates that an entity belongs to or is affiliated with a specific sports organization or club.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 1, 2026, 1:48 a.m.