Triple
T22096547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Purifoy Outdoor Desert Art Museum |
E546048
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Noah Purifoy |
—
|
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: Noah Purifoy | Statement: [Noah Purifoy Outdoor Desert Art Museum, namedAfter, Noah Purifoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Purifoy Context triple: [Noah Purifoy Outdoor Desert Art Museum, namedAfter, Noah Purifoy]
-
A.
Noah Purifoy
chosen
Noah Purifoy was an American assemblage sculptor and installation artist best known for his large-scale outdoor works made from found materials in the California desert.
-
B.
Noah Crawford
Noah Crawford is an American actor best known for his role on the Nickelodeon television series "How to Rock."
-
C.
Noah Clay
Noah Clay is a central character in the horror film "The Ring," known as the ex-boyfriend of protagonist Rachel Keller who becomes entangled in the cursed videotape’s deadly mystery.
-
D.
Noah Pettigrew
Noah Pettigrew is a music producer best known for his work on the project "My Turn."
-
E.
Noah Pettigrew
Noah Pettigrew is a music producer known for his work on the track "The Bigger Picture."
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e8f1f48190a5f1d9e96a6de688 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:30 p.m.