Triple
T1747862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joker (2019 film) |
E38375
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Marc Maron |
E152451
|
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: Marc Maron | Statement: [Joker (2019 film), castMember, Marc Maron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Maron Context triple: [Joker (2019 film), castMember, Marc Maron]
-
A.
Marc Maron
chosen
Marc Maron is an American stand-up comedian, actor, and podcaster best known for his influential podcast "WTF with Marc Maron" and his roles in television and film.
-
B.
B. J. Novak
B. J. Novak is an American actor, writer, comedian, and director best known for his work on the U.S. version of "The Office."
-
C.
Joel McHale
Joel McHale is an American actor, comedian, and television host best known for leading the satirical series "The Soup" and starring on the sitcom "Community."
-
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.
Lee Mack
Lee Mack is a British stand-up comedian, actor, and writer best known for his quick-fire wit and starring role in the sitcom "Not Going Out."
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63ecda0c819091f81942a5bde31d |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e058948190939e936af8f0e221 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.