Triple
T5310434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Opera |
E119011
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Sherrill Milnes |
E427950
|
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: Sherrill Milnes | Statement: [New York City Opera, hasNotableAlumnus, Sherrill Milnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherrill Milnes Context triple: [New York City Opera, hasNotableAlumnus, Sherrill Milnes]
-
A.
Sherrill Milnes
chosen
Sherrill Milnes is an acclaimed American operatic baritone renowned for his powerful voice and leading roles in major international opera houses, particularly the Metropolitan Opera.
-
B.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
C.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
D.
Diane Millstead
Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
-
E.
Laura Merriman
Laura Merriman is known as the spouse of Dwight Merriman, the co-founder and former CEO of DoubleClick and co-founder of MongoDB.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd85343ae08190bd9801ea4eac7003 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac74f44c8190953e486d3a315a64 |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 20, 2026, 1:53 p.m.