Triple
T21001731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stack A Lee |
E517306
|
entity |
| Predicate | hasNotableRecordingBy |
P1152
|
FINISHED |
| Object | Professor Longhair |
—
|
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: Professor Longhair | Statement: [Stack A Lee, hasNotableRecordingBy, Professor Longhair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Professor Longhair Context triple: [Stack A Lee, hasNotableRecordingBy, Professor Longhair]
-
A.
Dr. John
chosen
Dr. John was an American singer, songwriter, and pianist known for his distinctive blend of New Orleans R&B, funk, and psychedelic rock.
-
B.
Dr. John
Dr. John is a character in the animated television series "The Simpsons," appearing in the episode "The Boy Who Knew Too Much."
-
C.
Barney Bigard
Barney Bigard was an American jazz clarinetist and tenor saxophonist best known for his long association with Duke Ellington’s orchestra and his influential role in early swing and big band music.
-
D.
Fayard
Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
-
E.
Big Chief
Big Chief is a prominent street racer and television personality best known for his leading role on the reality series "Street Outlaws."
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc25c1f8819086bdbfd89d390f5f |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.