Triple
T20785136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Marchand |
E511608
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Rufus Wainwright |
—
|
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: Rufus Wainwright | Statement: [Pierre Marchand, workedWith, Rufus Wainwright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rufus Wainwright Context triple: [Pierre Marchand, workedWith, 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.
Pete Yorn
Pete Yorn is an American singer-songwriter and musician known for his melodic, introspective rock and folk-influenced albums, including his acclaimed debut "Musicforthemorningafter."
-
C.
Josh Ritter
Josh Ritter is an American singer-songwriter known for his narrative-driven folk and Americana music.
-
D.
Daniel Powter
Daniel Powter is a Canadian singer-songwriter best known for his mid-2000s pop hit "Bad Day."
-
E.
Harry Feist
Harry Feist was an actor best known for his role in Roberto Rossellini’s landmark Italian neorealist film "Rome, Open City."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28b4ce88190a45f1c99b58d18eb |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.