Triple
T18676516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Fairy |
E456615
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Frank Morgan |
—
|
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: Frank Morgan | Statement: [The Good Fairy, stars, Frank Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Morgan Context triple: [The Good Fairy, stars, Frank Morgan]
-
A.
Frank Morgan
chosen
Frank Morgan was an American character actor best known for playing multiple roles, including the title character, in the classic 1939 film "The Wizard of Oz."
-
B.
Ernest Stillman
Ernest Stillman was an American physician and conservationist best known for establishing Black Rock Forest in New York as a protected research and educational preserve.
-
C.
William Eddins McMath
William Eddins McMath was an American individual known primarily through genealogical records as the husband of Lela Emogene Owens McMath.
-
D.
Thomas Graham Kahn
Thomas Graham Kahn is a member of the Kahn family associated with renowned value investor Irving Kahn.
-
E.
Charles Aubrey Smith
Charles Aubrey Smith was an English cricketer-turned-character actor best known for playing dignified, often aristocratic English gentlemen in early Hollywood films.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b5a52c81908a71ac86544fb6aa |
completed | April 19, 2026, 10:27 p.m. |
Created at: April 10, 2026, 11:48 a.m.