Triple
T589375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Steinbrenner |
E17232
|
entity |
| Predicate | teamChampionshipsUnderOwnership |
P15972
|
FINISHED |
| Object | 7 World Series titles |
—
|
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: 7 World Series titles | Statement: [George Steinbrenner, teamChampionshipsUnderOwnership, 7 World Series titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamChampionshipsUnderOwnership Context triple: [George Steinbrenner, teamChampionshipsUnderOwnership, 7 World Series titles]
-
A.
teamOwnershipModel
Indicates the type or structure of ownership relationship that exists between a team and its owning entity (such as an individual, group, or organization).
-
B.
championshipWithTeam
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
C.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
-
D.
previousTeamNamesAlsoAssociatedWithFranchise
Indicates that the earlier team names are also historically or officially linked to the same franchise.
-
E.
team1ConferenceTitles
Indicates the number of conference championship titles won by the first team in a given context or comparison.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb775fc819085b968f8615dca59 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.