Triple
T23513305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Mosley |
E572488
|
entity |
| Predicate | notableAlias |
P39
|
FINISHED |
| Object | DJ Timmy Tim |
—
|
NE NERFINISHED |
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: DJ Timmy Tim | Statement: [Timothy Mosley, notableAlias, DJ Timmy Tim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Timmy Tim Context triple: [Timothy Mosley, notableAlias, DJ Timmy Tim]
-
A.
DJ Timmy Tim
chosen
DJ Timmy Tim is an early stage name of Timothy Mosley, the influential American record producer and rapper better known as Timbaland.
-
B.
DJ Zack
DJ Zack is a fictional DJ character associated with the film "Down by Law."
-
C.
DJ Toomp
DJ Toomp is an American record producer and DJ best known for his influential work in Southern hip hop, including crafting hits for artists like T.I. and Kanye West.
-
D.
Timmy
Timmy is one of the twin tanuki shop assistants who help run Tom Nook’s store in the Animal Crossing video game series.
-
E.
Timmy
Timmy is the loyal dog who accompanies the Famous Five on their adventures in Enid Blyton’s classic children’s novel "Five on a Treasure Island."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80174c819088c9c19fdcf2a133 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.