Triple
T11243384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Len |
E266132
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Lenny |
E913995
|
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 | Statement: [Len, relatedName, Lenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenny Context triple: [Len, relatedName, Lenny]
-
A.
Lenny
"Lenny" is a 2001 rock album by American musician Lenny Kravitz, showcasing his blend of classic rock, funk, and soul influences.
-
B.
Lenny
Lenny is a science fiction short story by Isaac Asimov, featuring one of his early robot characters and exploring themes of robotics and human-robot interaction.
-
C.
Lenny
Lenny is the nickname and given name of Lenny Belardo, the fictional young American pope from the television series "The Young Pope."
-
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
chosen
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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509f7d404819086cf5d062edbaff5 |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:30 p.m.