Triple
T18588162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bespoke Overcoat |
E454291
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tom Simpson |
—
|
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: Tom Simpson | Statement: [The Bespoke Overcoat, editedBy, Tom Simpson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Simpson Context triple: [The Bespoke Overcoat, editedBy, Tom Simpson]
-
A.
Tom Simpson
Tom Simpson is a British musician best known as the former keyboardist of the alternative rock band Snow Patrol.
-
B.
Tom Simpson
chosen
Tom Simpson is a film editor known for his work on the 1962 political thriller "Guns of Darkness."
-
C.
Tom Simpson
Tom Simpson was a prominent British professional road cyclist of the 1960s, known for his classic race victories and tragic death during the 1967 Tour de France.
-
D.
Eugene De Rosa
Eugene De Rosa was an American architect best known for designing prominent early 20th-century theaters and movie palaces in New York City.
-
E.
Felice Gimondi
Felice Gimondi was an Italian professional cyclist and one of the few riders in history to win all three Grand Tours—Tour de France, Giro d'Italia, and Vuelta a España.
- 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_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.