Triple
T9006081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Fleisher |
E215145
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | André Watts |
E673678
|
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: André Watts | Statement: [Leon Fleisher, notableStudent, André Watts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Watts Context triple: [Leon Fleisher, notableStudent, André Watts]
-
A.
André Watts
chosen
André Watts was a celebrated American classical pianist renowned for his virtuosic technique and expressive interpretations, particularly of Romantic repertoire.
-
B.
David Watts
David Watts is a song by the Kinks, later famously covered by the Jam, known for its upbeat tune and lyrics about envy and admiration of a popular schoolboy.
-
C.
Andrew Watts
Andrew Watts is a British countertenor known for his performances in contemporary opera and concert repertoire.
-
D.
Richard Wattis
Richard Wattis was a British character actor known for his dry, officious comedic roles in mid-20th-century films and television.
-
E.
Michael Watts
Michael Watts is a notable individual whose name is associated with the surname Watts, though additional context is needed to distinguish his specific identity or achievements.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.