Triple
T27074887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Cashen |
E685429
|
entity |
| Predicate | helpedBuildChampionshipTeam |
P118769
|
FINISHED |
| Object | New York Mets 1986 World Series champions |
—
|
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 Mets 1986 World Series champions | Statement: [Frank Cashen, helpedBuildChampionshipTeam, New York Mets 1986 World Series champions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedBuildChampionshipTeam Context triple: [Frank Cashen, helpedBuildChampionshipTeam, New York Mets 1986 World Series champions]
-
A.
championshipsHelpedWin
chosen
Indicates that one entity contributed to another entity winning one or more championships.
-
B.
teamBuilt
Indicates that one entity created, assembled, or established a team that includes or is composed of another entity.
-
C.
helpedTeamEndChampionshipDrought
Indicates that an entity contributed significantly to a team finally winning a championship after a long period without one.
-
D.
helpedWinNationalTitle
Indicates that one entity contributed significantly to another entity's achievement of winning a national championship or title.
-
E.
helpedTeamTo
Indicates that one entity provided assistance or support to a team in achieving a task, goal, or outcome.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 8:30 a.m.