Triple
T15669264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.O.A. (1950 film) |
E377264
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Arthur H. Nadel |
—
|
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: Arthur H. Nadel | Statement: [D.O.A. (1950 film), editedBy, Arthur H. Nadel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur H. Nadel Context triple: [D.O.A. (1950 film), editedBy, Arthur H. Nadel]
-
A.
Arthur H. Nadel
chosen
Arthur H. Nadel was a film editor best known for his work on mid-20th-century American genre films.
-
B.
Charles H. Kahn
Charles H. Kahn is an American philosopher and classical scholar known for his influential work on ancient Greek philosophy, especially Plato and pre-Socratic thought.
-
C.
Charles H. Joffe
Charles H. Joffe was an American film producer best known for his long-time collaboration with Woody Allen, including producing several of Allen’s most acclaimed films.
-
D.
Frank E. Seidman
Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
-
E.
Edgar M. Kahn
Edgar M. Kahn was an American neurosurgeon and academic known for his contributions to the development of neurosurgical techniques and education in the mid-20th century.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
Created at: April 10, 2026, 4:16 a.m.