Triple
T16323912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moe Szyslak |
E396365
|
entity |
| Predicate | frequentCustomer |
P809
|
FINISHED |
| Object | Lenny Leonard |
E830968
|
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: Lenny Leonard | Statement: [Moe Szyslak, frequentCustomer, Lenny Leonard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenny Leonard Context triple: [Moe Szyslak, frequentCustomer, Lenny Leonard]
-
A.
Lenny Leonard
chosen
Lenny Leonard is a recurring character on the animated TV show "The Simpsons," known as Homer Simpson’s affable, somewhat dim-witted coworker and close friend.
-
B.
Lenny Blue
Lenny Blue is a British crime drama project featuring actor Jamie Foreman in a prominent role.
-
C.
Lenny
"Lenny" is a 2001 rock album by American musician Lenny Kravitz, showcasing his blend of classic rock, funk, and soul influences.
-
D.
Lenny
Lenny is a character in Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which explores the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
-
E.
Lenny
Lenny is a given name, often used as a diminutive form of Leonard or similar names.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ab4208190900f21cb4f08f926 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.