Triple
T10553768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty Shop |
E249021
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Norman Vance Jr. |
E582615
|
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: Norman Vance Jr. | Statement: [Beauty Shop, writer, Norman Vance Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Vance Jr. Context triple: [Beauty Shop, writer, Norman Vance Jr.]
-
A.
Norman Vance Jr.
chosen
Norman Vance Jr. is an American screenwriter and producer best known for his work on films and television projects centered on African American life and coming-of-age stories.
-
B.
Norman Reynolds
Norman Reynolds was a British production designer and art director best known for his Oscar-winning work on the original Star Wars and Raiders of the Lost Ark.
-
C.
Norman Riley
Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
-
D.
Norman Grant
Norman Grant is a fictional character from the science fiction novel "Space" by James A. Michener.
-
E.
Norman Frank
Norman Frank is a member of the Frank family, known primarily as a relative of German author and Nazi critic Niklas Frank.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52710869c81909b6db1a190825bad |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9346f6a38819087647e7a09f40c41 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:34 p.m.