Triple
T35568088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bush |
E1027833
|
entity |
| Predicate | hasInternationalSuccess |
P67896
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bush, hasInternationalSuccess, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalSuccess Context triple: [Bush, hasInternationalSuccess, true]
-
A.
internationalSuccess
Indicates that an entity has achieved notable recognition, impact, or positive outcomes across multiple countries or on a global scale.
-
B.
hasNotableInternationalHit
Indicates that an entity (typically an artist or creator) has produced at least one work that achieved significant popularity or success in multiple countries.
-
C.
hasInternationalHitSingle
Indicates that an entity (typically a musical artist or group) has released at least one single that achieved notable popularity or chart success in multiple countries.
-
D.
hasInternationalAchievements
chosen
Indicates that an entity has attained notable accomplishments or recognition at an international level.
-
E.
haveInternationalRecognition
Indicates that an entity is formally acknowledged or accepted by the international community or by official bodies across multiple countries.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
Created at: May 3, 2026, 4:04 p.m.