Triple
T10752077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurse Betty |
E253594
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Chris Rock |
E49674
|
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: Chris Rock | Statement: [Nurse Betty, starring, Chris Rock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Rock Context triple: [Nurse Betty, starring, Chris Rock]
-
A.
Chris Rock
chosen
Chris Rock is an American stand-up comedian, actor, writer, and filmmaker known for his sharp, socially conscious humor and incisive commentary on race and politics.
-
B.
Dave Chappelle
Dave Chappelle is an influential American stand-up comedian, actor, and writer best known for his sharp, socially conscious humor and his groundbreaking sketch series "Chappelle's Show."
-
C.
Cedric the Entertainer
Cedric the Entertainer is an American comedian, actor, and game show host known for his stand-up comedy, roles in films like "Barbershop," and work on "The Steve Harvey Show."
-
D.
Lewis Black
Lewis Black is an American stand-up comedian, actor, and author best known for his angry, rant-filled style of political and social commentary.
-
E.
Mike Epps
Mike Epps is an American stand-up comedian and actor known for his roles in films like the "Friday" series and numerous comedy specials.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343cd76448190b0583cc15005ac9d |
completed | April 18, 2026, 8:41 a.m. |
Created at: April 8, 2026, 9:15 p.m.