Triple
T24204393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddha |
E600064
|
entity |
| Predicate | countryOfBroadcastShow |
P9038
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Buddha, countryOfBroadcastShow, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfBroadcastShow Context triple: [Buddha, countryOfBroadcastShow, United States]
-
A.
countryOfBroadcast
chosen
Indicates the country from which a broadcast is transmitted or officially originates.
-
B.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
-
C.
televisionSeriesCountryOfOrigin
Indicates the country where a television series was originally produced or first created.
-
D.
televisionWorkCountry
Indicates the country in which a television-related work (such as a TV show or production) is produced or primarily associated.
-
E.
televisionAdaptationCountry
Indicates the country in which a television adaptation of a work was produced or primarily created.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:37 p.m.