Triple
T13402256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Koharski |
E319859
|
entity |
| Predicate | yearsActiveAsNHLReferee |
P109778
|
FINISHED |
| Object | 1977–2009 |
—
|
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: 1977–2009 | Statement: [Don Koharski, yearsActiveAsNHLReferee, 1977–2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveAsNHLReferee Context triple: [Don Koharski, yearsActiveAsNHLReferee, 1977–2009]
-
A.
yearsActiveAsNFLReferee
Indicates the span of years during which an individual served as an NFL referee.
-
B.
numberOfNHLSeasons
Indicates the total count of seasons an entity has participated in the National Hockey League (NHL).
-
C.
playedInNHLSeasons
Indicates that an individual participated as a player in one or more specified National Hockey League (NHL) seasons.
-
D.
numberOfNHLRegularSeasonGamesOfficiated
Indicates the total count of NHL regular season games that a particular official has overseen.
-
E.
yearsActiveAsUmpire
Indicates the span of time during which an entity has served or been active in the role of an umpire.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4982e0819087a9fcb2fa88541f |
completed | April 12, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:34 p.m.