Triple
T23404766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are You There, Chelsea? |
E559603
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lenny Clarke |
—
|
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: Lenny Clarke | Statement: [Are You There, Chelsea?, starring, Lenny Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenny Clarke Context triple: [Are You There, Chelsea?, starring, Lenny Clarke]
-
A.
Lenny Clarke
chosen
Lenny Clarke is an American stand-up comedian and actor known for his Boston-accented roles in film and television, including appearances in projects like "Fever Pitch."
-
B.
Lenny Grant
Lenny Grant, better known by his stage name Uncle Murda, is an American rapper from Brooklyn, New York, recognized for his gritty street narratives and annual "Rap Up" songs.
-
C.
Lenny McLean
Lenny McLean was a British bare-knuckle boxer, bouncer, and actor, best known for his tough-guy persona and roles in gritty crime films.
-
D.
Phil Clarke
Phil Clarke is a British television producer and executive known for his work on acclaimed UK comedy series.
-
E.
David Cleevely
David Cleevely is a British entrepreneur and investor best known for founding and backing numerous technology and biotech companies, as well as advising on UK telecommunications and innovation policy.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e27db88190b37375b38073291c |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:38 p.m.