Triple
T32244202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Hackman as coach Norman Dale |
E823701
|
entity |
| Predicate | teammotto |
P14879
|
FINISHED |
| Object | measuring the court to show it is the same size as big arenas |
—
|
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: measuring the court to show it is the same size as big arenas | Statement: [Gene Hackman as coach Norman Dale, teammotto, measuring the court to show it is the same size as big arenas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teammotto Context triple: [Gene Hackman as coach Norman Dale, teammotto, measuring the court to show it is the same size as big arenas]
-
A.
teamSlogan
chosen
Indicates the slogan or motto that is associated with a particular team.
-
B.
ledTeamSlogan
Indicates that one entity took charge of creating, promoting, or directing the use of a slogan on behalf of a team.
-
C.
mottoOrNickname
Indicates that one entity serves as a motto, slogan, or nickname associated with another entity.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
teamTheme
Indicates that multiple entities share a common thematic concept or style as a team.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc322a2c8190a5f9d9387eca43f6 |
completed | May 3, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:40 a.m.