Triple
T18761245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Groove |
E458772
|
entity |
| Predicate | featuresPerformer |
P1363
|
FINISHED |
| Object | Charlotte Moorman |
—
|
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: Charlotte Moorman | Statement: [Global Groove, featuresPerformer, Charlotte Moorman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Moorman Context triple: [Global Groove, featuresPerformer, Charlotte Moorman]
-
A.
Charlotte Moorman
chosen
Charlotte Moorman was an avant-garde American cellist and performance artist known for her experimental collaborations and boundary-pushing multimedia performances.
-
B.
Shirley Scott
Shirley Scott was an influential American jazz organist renowned for her soulful Hammond B-3 playing and significant contributions to the soul-jazz genre.
-
C.
Marlene Smith
Marlene Smith is a theatre producer best known for her work on the Broadway musical "The Boy from Oz" starring Hugh Jackman.
-
D.
Charlotte Brown
Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
-
E.
Lesley Morrow
Lesley Morrow is an American literacy educator and researcher known for her influential work on early childhood literacy development and reading instruction.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7ecca881909d6c262837b621b3 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.