Triple
T12106993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer of '42 |
E288327
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Richard A. Roth |
E616308
|
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: Richard A. Roth | Statement: [Summer of '42, producer, Richard A. Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard A. Roth Context triple: [Summer of '42, producer, Richard A. Roth]
-
A.
Richard A. Roth
chosen
Richard A. Roth is an American film producer best known for his work on the 1986 crime thriller "Manhunter."
-
B.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
C.
William Rotsler
William Rotsler was an American science fiction fan, artist, and writer known for his prolific fan art, cartoons, and contributions to fandom culture.
-
D.
Sanford Rothenberg
Sanford Rothenberg was the second husband of actress Fay Wray, known primarily for his marriage to the iconic King Kong star.
-
E.
Peter J. Weinberger
Peter J. Weinberger is an American computer scientist known for his contributions to programming languages and tools at Bell Labs, including co-creating the AWK programming language.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91561eaec819096ba00682d81f41a |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d756bd08190a79adc9a2e6188ed |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 8, 2026, 9:49 p.m.