Triple
T16569367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timbaland & Magoo |
E402545
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Magoo |
E402544
|
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: Magoo | Statement: [Timbaland & Magoo, hasMember, Magoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magoo Context triple: [Timbaland & Magoo, hasMember, Magoo]
-
A.
Magoo
chosen
Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
-
B.
Mr. Magoo
Mr. Magoo is a near-sighted, bumbling cartoon character known for getting into comical misadventures due to his poor vision.
-
C.
Moochie
Moochie is a recurring, energetic child character from classic Disney live-action films and television shows, famously played by actor Kevin Corcoran.
-
D.
Moe
Moe is the nickname of Moe Berg, an American baseball player who famously served as a spy during World War II.
-
E.
Moe
Moe is a surname most notably associated with various American figures in sports, entertainment, and public life.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759424348190889dacbbc7435238 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.