Triple
T3952304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Mosley |
E84891
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Magoo
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.
|
E402544
|
NE FINISHED |
How this triple was built (4 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: [Timothy Mosley, associatedAct, Magoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magoo Context triple: [Timothy Mosley, associatedAct, Magoo]
-
A.
Mr. Magoo
Mr. Magoo is a near-sighted, bumbling cartoon character known for getting into comical misadventures due to his poor vision.
-
B.
Moe
Moe is the nickname of Moe Berg, an American baseball player who famously served as a spy during World War II.
-
C.
Moe
Moe is a kangaroo character known by the name Moe.
-
D.
Magilla Gorilla
Magilla Gorilla is a classic Hanna-Barbera animated television character, a lovable but trouble-prone gorilla often featured in comedic situations involving his attempts to find a permanent home.
-
E.
Yosemite Sam
Yosemite Sam is a hot-tempered, mustachioed outlaw and recurring antagonist in the Looney Tunes cartoons, known for his fiery personality and frequent clashes with Bugs Bunny.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Magoo Triple: [Timothy Mosley, associatedAct, Magoo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magoo Target entity description: 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.
-
A.
Mr. Magoo
Mr. Magoo is a near-sighted, bumbling cartoon character known for getting into comical misadventures due to his poor vision.
-
B.
Moe
Moe is the nickname of Moe Berg, an American baseball player who famously served as a spy during World War II.
-
C.
Moe
Moe is a kangaroo character known by the name Moe.
-
D.
Magilla Gorilla
Magilla Gorilla is a classic Hanna-Barbera animated television character, a lovable but trouble-prone gorilla often featured in comedic situations involving his attempts to find a permanent home.
-
E.
Yosemite Sam
Yosemite Sam is a hot-tempered, mustachioed outlaw and recurring antagonist in the Looney Tunes cartoons, known for his fiery personality and frequent clashes with Bugs Bunny.
- F. None of above. chosen
Provenance (5 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef939d1308190930dc2c8272eafa4 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a80d4c8190bb1aac1b2900d9a8 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5341fb74081909a33753e5fdd5c32 |
completed | March 14, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534d279548190bee44aea7828ed3b |
completed | March 14, 2026, 10:13 a.m. |
Created at: March 9, 2026, 3:30 p.m.