Triple
T5791484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ghost and Mrs. Muir |
E128403
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Miles Fairley |
E557820
|
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: Miles Fairley | Statement: [The Ghost and Mrs. Muir, characterPortrayed, Miles Fairley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Fairley Context triple: [The Ghost and Mrs. Muir, characterPortrayed, Miles Fairley]
-
A.
Miles Fairley
chosen
Miles Fairley is a charming but duplicitous children's book author who becomes a romantic interest of the protagonist in the classic film "The Ghost and Mrs. Muir."
-
B.
Miles Goodman
Miles Goodman was an American composer and jazz record producer best known for his film scores, particularly for popular comedies of the 1980s and early 1990s.
-
C.
Walker Edmiston
Walker Edmiston was an American character actor and voice artist known for his extensive work in television, film, and animation from the 1950s through the 1990s.
-
D.
Jack Mullaney
Jack Mullaney was an American character actor known for his comedic roles in mid-20th-century film and television.
-
E.
Felix Mills
Felix Mills was an American composer and arranger best known for his work on film scores and radio programs in the mid-20th century.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a56c73c81908a1c72c86e474b54 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107e64edc819080b3ebf9b9137749 |
completed | March 23, 2026, 9:29 a.m. |
Created at: March 22, 2026, 3:51 p.m.