Triple
T20160870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mona Lisa Smile |
E491698
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Susan E. Morse |
—
|
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: Susan E. Morse | Statement: [Mona Lisa Smile, editor, Susan E. Morse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan E. Morse Context triple: [Mona Lisa Smile, editor, Susan E. Morse]
-
A.
Susan E. Morse
chosen
Susan E. Morse is a film editor best known for her long-time collaboration with director Woody Allen, including her work on the film "Crimes and Misdemeanors."
-
B.
Louise Allbritton
Louise Allbritton was an American film and stage actress active in the 1940s and 1950s, known for roles in movies such as "Son of Dracula" and "Pittsburgh."
-
C.
Susan A. Houghton
Susan A. Houghton was the wife of American inventor Elisha Otis, known for his development of the safety elevator.
-
D.
Margaret Rudman
Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
-
E.
Lillian C. McDermott
Lillian C. McDermott was a pioneering physics education researcher and professor known for transforming the teaching and learning of physics through research-based instructional methods.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e43940819080f6a0b7331aaab0 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.