Triple
T16229261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtuosity |
E393935
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | William Forsythe |
E91071
|
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: William Forsythe | Statement: [Virtuosity, starring, William Forsythe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Forsythe Context triple: [Virtuosity, starring, William Forsythe]
-
A.
William Forsythe
chosen
William Forsythe is an American character actor known for his intense, often villainous roles in action and crime films and television series.
-
B.
William Forsythe
William Forsythe is an influential American choreographer renowned for revolutionizing contemporary ballet through his innovative, deconstructive approach to classical technique.
-
C.
Michael Clark
Michael Clark is a British Conservative politician who formerly served as the Member of Parliament for the Rochford and Southend East constituency.
-
D.
Michael Clark
Michael Clark is an actor known for appearing in the World War II comedy film "Kelly's Heroes."
-
E.
Christopher Wheeldon
Christopher Wheeldon is a renowned British choreographer and former dancer known for his innovative contemporary ballets created for major companies worldwide, including The Royal Ballet and New York City Ballet.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3bd07c81909612f641796deef7 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:03 a.m.