Triple
T15732030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clone High |
E381367
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Michael McDonald |
E565470
|
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: Michael McDonald | Statement: [Clone High, voiceActor, Michael McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael McDonald Context triple: [Clone High, voiceActor, Michael McDonald]
-
A.
Michael McDonald
Michael McDonald is an American singer, songwriter, and keyboardist known for his soulful baritone voice and work with the Doobie Brothers as well as a successful solo career.
-
B.
Michael McDonald
chosen
Michael McDonald is an American actor and comedian best known for his long-running work and memorable characters on the sketch comedy series MADtv.
-
C.
Michael J. McDonald
Michael J. McDonald is a television producer best known for his work on the critically acclaimed anthology series "American Crime."
-
D.
Peabo Bryson
Peabo Bryson is an American R&B and soul singer best known for his powerful ballads and duets, including several hit Disney movie theme songs.
-
E.
Glen Stewart
Glen Stewart is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9092e25c81909f86a580e78ff7ca |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:46 a.m.