Triple
T26697949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Wirtz |
E673075
|
entity |
| Predicate | leagueAffiliationThroughRole |
P163067
|
FINISHED |
| Object | National Hockey League |
—
|
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: National Hockey League | Statement: [Danny Wirtz, leagueAffiliationThroughRole, National Hockey League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueAffiliationThroughRole Context triple: [Danny Wirtz, leagueAffiliationThroughRole, National Hockey League]
-
A.
leagueAffiliationThroughOwnedTeam
Indicates that an entity is affiliated with a league by virtue of owning a team that participates in that league.
-
B.
leagueAffiliationManaged
Indicates that one entity manages, oversees, or administers the league affiliation of another entity.
-
C.
leagueAffiliationHistory
Indicates the historical sequence of leagues or organizations with which an entity has been affiliated over time.
-
D.
playerAffiliation
Indicates the organization, team, or group with which a player is formally associated or aligned.
-
E.
teamAffiliationStructure
Indicates the organizational relationship that defines how a team is structured, including its internal roles, hierarchy, and affiliations.
- F. None of above. chosen
Provenance (4 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:29 a.m.