Triple
T9355316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Pavelich |
E225122
|
entity |
| Predicate | playedSeasonsWithTeam |
P14050
|
FINISHED |
| Object | New York Rangers from 1981 to 1986 |
—
|
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: New York Rangers from 1981 to 1986 | Statement: [Mark Pavelich, playedSeasonsWithTeam, New York Rangers from 1981 to 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedSeasonsWithTeam Context triple: [Mark Pavelich, playedSeasonsWithTeam, New York Rangers from 1981 to 1986]
-
A.
leagueParticipatedInAsPlayer
Indicates that a person, in the role of a player, took part in competitions organized by a specific league.
-
B.
numberOfSeasonsWithTeam
chosen
Indicates the total count of seasons an entity (e.g., a player or coach) has spent with a particular team.
-
C.
playedEntireCareerForSingleFranchise
Indicates that an athlete spent their entire professional career playing for only one franchise or team.
-
D.
leagueSeasonParticipatedIn
Indicates that an entity took part in a specific season of a league.
-
E.
careerSeasons
Indicates the number or set of seasons during which an entity actively participated in a particular career or professional role.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f99205c8190a5ad95926ef25497 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.