Triple
T15078414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Bluhm |
E380068
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Norman Bluhm |
—
|
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: Norman Bluhm | Statement: [Norman Bluhm, name, Norman Bluhm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Bluhm Context triple: [Norman Bluhm, name, Norman Bluhm]
-
A.
Norman Bluhm
chosen
Norman Bluhm was an American abstract expressionist painter known for his dynamic, gestural canvases that bridged action painting and lyrical abstraction.
-
B.
Don Blum
Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
-
C.
Norman Hilberry
Norman Hilberry was an American physicist and administrator best known for his leadership roles in the Manhattan Project and later as director of Argonne National Laboratory.
-
D.
Norman Tokar
Norman Tokar was an American film and television director best known for his work on family-oriented Disney movies and classic TV series in the mid-20th century.
-
E.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 3:03 a.m.