Triple
T22071118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Lips |
E545407
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Norro Wilson |
—
|
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: Norro Wilson | Statement: [Sugar Lips, composer, Norro Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norro Wilson Context triple: [Sugar Lips, composer, Norro Wilson]
-
A.
Norro Wilson
chosen
Norro Wilson was an American country music producer, songwriter, and singer known for shaping the careers and sounds of numerous major country artists.
-
B.
Lisle Wilson
Lisle Wilson was an American actor best known for his television and film roles in the 1970s and 1980s.
-
C.
Felix de Weldon
Felix de Weldon was an Austrian-American sculptor best known for creating the iconic Iwo Jima flag-raising statue and numerous other public monuments.
-
D.
Georges Wilson
Georges Wilson was a prominent French actor and theatre director, notably associated with the Comédie-Française and the Théâtre National de Chaillot.
-
E.
Christopher Morley
Christopher Morley was an American journalist, novelist, essayist, and poet known for his witty, urbane writing and popular works in early 20th-century literature.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128881af481909b28cda2d343f4e3 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.