Triple
T15465207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playboy |
E372014
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Ray Bradbury |
E19900
|
NE 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: Ray Bradbury | Statement: [Playboy, hasContributor, Ray Bradbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Bradbury Context triple: [Playboy, hasContributor, Ray Bradbury]
-
A.
Ray Bradbury
chosen
Ray Bradbury was an American author best known for his imaginative and socially critical science fiction and fantasy works, including the classic novel "Fahrenheit 451."
-
B.
William Bradbury
William Bradbury was a 19th-century British printer and publisher best known as a co-founder of the influential London publishing firm Bradbury and Evans.
-
C.
Robert Adrian Bradbury
Robert Adrian Bradbury was an American film director, screenwriter, and producer best known for his prolific work on low-budget Westerns during the early 20th century.
-
D.
Bradbury
Bradbury is a small residential city in Los Angeles County, California, known for its affluent, semi-rural character and large estate properties.
-
E.
Bradbury
Bradbury is a surname of English origin borne by various notable individuals across fields such as literature, sports, and entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d01a23c819095cf75b7d5a801a9 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.