Triple
T18591025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How High the Moon |
E454366
|
entity |
| Predicate | recordedBy |
P1165
|
FINISHED |
| Object | Mary Ford |
—
|
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: Mary Ford | Statement: [How High the Moon, recordedBy, Mary Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Ford Context triple: [How High the Moon, recordedBy, Mary Ford]
-
A.
Mary Ford
chosen
Mary Ford was an American vocalist and guitarist best known for her innovative multi-tracked recordings and hit duets with her husband, guitarist and inventor Les Paul, in the 1950s.
-
B.
Nonnie Parry
Nonnie Parry is a shy, young singer and one of the key survivors in the 1972 disaster film "The Poseidon Adventure."
-
C.
Joan Tabor
Joan Tabor was an American film and television actress active in the 1950s and 1960s, known for her glamorous screen presence and roles in various popular TV series of the era.
-
D.
Dolly Nolan
Dolly Nolan is a member of the Nolan family featured in the romantic comedy film "Must Love Dogs."
-
E.
Dolly Henderson
Dolly Henderson is a fictional character connected to Sue Brown, likely appearing in the same narrative or creative work.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b5bc688190bdfe3911ac6b2d76 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.