Triple
T17604856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Muir |
E428800
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Frank Muir |
—
|
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 Muir | Statement: [Frank Muir, name, Frank Muir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Muir Context triple: [Frank Muir, name, Frank Muir]
-
A.
Frank Muir
chosen
Frank Muir was a British comedy writer and broadcaster known for his witty contributions to radio and television panel shows and for co-creating several classic British sitcoms.
-
B.
Maurice Denham
Maurice Denham was an English character actor known for his extensive work in film, television, and radio from the mid-20th century onward.
-
C.
Ralph Hedley
Ralph Hedley was an English painter and woodcarver best known for his realistic depictions of everyday life in the North East of England.
-
D.
Ivor Claire
Ivor Claire is a central, morally complex army officer in Evelyn Waugh’s *Sword of Honour* trilogy, whose actions and choices embody the themes of honor, duty, and betrayal in wartime.
-
E.
Ralph Blane
Ralph Blane was an American songwriter and lyricist best known for his work on classic MGM musicals, particularly his collaborations with Hugh Martin on songs for "Meet Me in St. Louis."
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4b4ee88190827ea28b99ca6f33 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.