Triple
T12093168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Calfan |
E287998
|
entity |
| Predicate | performerOf |
P1363
|
FINISHED |
| Object | Prelude |
E964955
|
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: Prelude | Statement: [Michael Calfan, performerOf, Prelude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prelude Context triple: [Michael Calfan, performerOf, Prelude]
-
A.
Prelude
"Prelude" is a musical track featured on the Grateful Dead's live album Europe '72.
-
B.
Prelude
Prelude is an earlier creative work that precedes and is thematically or stylistically connected to the later piece Tissues and Issues.
-
C.
Prelude
Prelude is the solemn, meditative orchestral opening to Richard Wagner’s opera "Parsifal," introducing its central musical themes and spiritual atmosphere.
-
D.
Prelude
Prelude is a modernist short story by Katherine Mansfield that portrays the inner lives and shifting dynamics of a New Zealand family through impressionistic, psychologically nuanced vignettes.
-
E.
Prelude
chosen
"Prelude" is a popular house music track by French DJ and producer Michael Calfan that helped establish his international reputation.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a6f22cc8190ba12c910c5ef5868 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.