Triple
T16438833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Your Eyes |
E399243
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Tom Simpson |
E399251
|
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: Tom Simpson | Statement: [Open Your Eyes, composer, Tom Simpson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Simpson Context triple: [Open Your Eyes, composer, Tom Simpson]
-
A.
Tom Simpson
chosen
Tom Simpson is a British musician best known as the former keyboardist of the alternative rock band Snow Patrol.
-
B.
Tom Simpson
Tom Simpson is a film editor known for his work on the 1962 political thriller "Guns of Darkness."
-
C.
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.
-
D.
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.
-
E.
Greg LeMond
Greg LeMond is an American former professional cyclist renowned for winning the Tour de France three times and for pioneering the use of advanced technology and aerodynamics in the sport.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba5a4748190b63ff53bfb5957c7 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4971e08190821d6b5aeed05624 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.