Triple
T1897067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Black |
E37606
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lewis Black |
E37606
|
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: Lewis Black | Statement: [Lewis Black, name, Lewis Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis Black Context triple: [Lewis Black, name, Lewis Black]
-
A.
Lewis Black
chosen
Lewis Black is an American stand-up comedian, actor, and author best known for his angry, rant-filled style of political and social commentary.
-
B.
Patton Oswalt
Patton Oswalt is an American stand-up comedian, actor, and writer known for his sharp observational humor and roles in film and television, including voicing Remy in Pixar's "Ratatouille."
-
C.
Michael Ian Black
Michael Ian Black is an American comedian, actor, writer, and director known for his work on "The State," "Stella," and numerous stand-up and television appearances.
-
D.
Bill Burr
Bill Burr is an American stand-up comedian, actor, and podcaster known for his abrasive, observational humor and candid takes on social and cultural issues.
-
E.
Dennis Miller
Dennis Miller is an American stand-up comedian, talk show host, and actor known for his acerbic wit and work on Saturday Night Live and various political commentary programs.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb16f416c8190a49b24523b3a7f85 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ced4708190ba3d5131039691e8 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.