Triple
T14649422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faces of America |
E343938
|
entity |
| Predicate | hasParticipant |
P149
|
FINISHED |
| Object | Rufus Wainwright |
E21966
|
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: Rufus Wainwright | Statement: [Faces of America, hasParticipant, Rufus Wainwright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rufus Wainwright Context triple: [Faces of America, hasParticipant, Rufus Wainwright]
-
A.
Rufus Wainwright
chosen
Rufus Wainwright is a Canadian-American singer-songwriter and composer known for his lush, theatrical pop music and distinctive, operatic vocal style.
-
B.
Josh Ritter
Josh Ritter is an American singer-songwriter known for his narrative-driven folk and Americana music.
-
C.
Daniel Powter
Daniel Powter is a Canadian singer-songwriter best known for his mid-2000s pop hit "Bad Day."
-
D.
Maty Siman
Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
-
E.
Patrick Wolf
Patrick Wolf is an English singer-songwriter and multi-instrumentalist known for his experimental blend of baroque pop, folk, and electronic music.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ed037c8190a87bf43f839fec05 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d9ab188190934deb57fd6d9a56 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.