Triple
T23264236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wild Angels |
E582101
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Richard Moore |
—
|
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: Richard Moore | Statement: [The Wild Angels, cinematographyBy, Richard Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Moore Context triple: [The Wild Angels, cinematographyBy, Richard Moore]
-
A.
Richard Moore
Richard Moore was an early 17th-century English colonial administrator who became the inaugural governor of Bermuda, helping to establish the island’s first formal government.
-
B.
Richard Moore
chosen
Richard Moore was an American cinematographer known for his work on feature films in the 1960s and 1970s and as a co-founder of Panavision.
-
C.
Louis Moore
Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
-
D.
Bill Moore
Bill Moore is an author known for co-writing the book "Never Panic Early."
-
E.
Paul Moore
Paul Moore is a Python community contributor and developer known for his work on Python packaging standards and tools.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194cb76c48190869915cd93b44fcc |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.