Triple
T23339965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Spirits |
E591709
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Timothy Gray |
—
|
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: Timothy Gray | Statement: [High Spirits, composer, Timothy Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy Gray Context triple: [High Spirits, composer, Timothy Gray]
-
A.
Timothy Gray
chosen
Timothy Gray was a composer best known for his work on the musical film "High Spirits."
-
B.
Tony Gray
Tony Gray, also known by his gamer tag "Zikz," is a professional esports coach best known for his work in competitive League of Legends.
-
C.
Timothy Drury
Timothy Drury is an American keyboardist, guitarist, and songwriter best known for his work with rock bands such as the Eagles and Whitesnake.
-
D.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
E.
Martin Gray
Martin Gray is the middle-aged architect protagonist of Edward Albee’s play "The Goat, or Who Is Sylvia?", whose shocking romantic obsession with a goat drives the drama’s exploration of taboo, morality, and the limits of tolerance.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198317f4c8190a557cacb86568d6c |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.