Triple
T13402277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Koharski |
E319859
|
entity |
| Predicate | hasOfficiatedAllStarGame |
P109779
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Don Koharski, hasOfficiatedAllStarGame, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficiatedAllStarGame Context triple: [Don Koharski, hasOfficiatedAllStarGame, yes]
-
A.
hasAllStarGame
Indicates that an entity has participated in, hosted, or is otherwise associated with an All-Star Game event.
-
B.
hasChampionshipGames
Indicates that an entity includes, hosts, or is associated with one or more championship-level games or matches.
-
C.
playedFirstChampionshipGame
Indicates that an entity participated in its first championship game in a given sport, league, or competition.
-
D.
wasAllStarEverySeasonPlayed
Indicates that the entity was selected as an All-Star in every season of their playing career.
-
E.
previousAllStarGame
Indicates that one event or instance occurred before another in the context of All-Star Games.
- 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.