Triple
T19695801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Three (golf) |
E472954
|
entity |
| Predicate | hasMemberNationality |
P99870
|
FINISHED |
| Object | American (Arnold Palmer) |
—
|
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: American (Arnold Palmer) | Statement: [The Big Three (golf), hasMemberNationality, American (Arnold Palmer)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberNationality Context triple: [The Big Three (golf), hasMemberNationality, American (Arnold Palmer)]
-
A.
hasParticipantNationality
chosen
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
B.
hasOwnerNationalityStereotype
Indicates that an entity is associated with a stereotype about the nationality of its owner.
-
C.
appliesToPersonNationality
Indicates that something is relevant or applicable specifically to a person’s nationality.
-
D.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
-
E.
hasHostCitizenship
Indicates that an entity holds citizenship in, or is a citizen of, a specified host country or jurisdiction.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642147c3c8190a4c788e4bb48fe11 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.