Triple
T10339859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Roizman |
E243100
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Roizman |
E243100
|
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: Roizman | Statement: [Owen Roizman, familyName, Roizman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roizman Context triple: [Owen Roizman, familyName, Roizman]
-
A.
Owen Roizman
chosen
Owen Roizman was an acclaimed American cinematographer known for his influential work on landmark films of the 1970s and beyond.
-
B.
Mark Rothman
Mark Rothman is an American television writer and producer best known for his work on popular sitcoms of the 1970s and 1980s.
-
C.
Ben Shenkman
Ben Shenkman is an American actor known for his work in film, television, and theater, including acclaimed roles in projects like "Angels in America."
-
D.
Tudyk
Tudyk is the surname of Alan Tudyk, an American actor known for his roles in films like "Rogue One" and the series "Firefly."
-
E.
Daryl Roth
Daryl Roth is a prominent American theatrical producer known for her extensive work on Broadway and Off-Broadway, including numerous award-winning plays and musicals.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a526a08190afe7091a0cf1f073 |
completed | April 7, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506a07888190b91e78247e81fe57 |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:54 a.m.