Triple
T13240439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BoJack Horseman |
E315265
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Raphael Bob-Waksberg |
E1029266
|
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: Raphael Bob-Waksberg | Statement: [BoJack Horseman, creator, Raphael Bob-Waksberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raphael Bob-Waksberg Context triple: [BoJack Horseman, creator, Raphael Bob-Waksberg]
-
A.
Raphael Bob-Waksberg
chosen
Raphael Bob-Waksberg is an American writer, producer, and showrunner best known for creating the critically acclaimed animated series "BoJack Horseman."
-
B.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
C.
Nathan Waks
Nathan Waks is an Australian cellist, composer, and music producer known for his work on film scores and classical music projects.
-
D.
Daniel Rappaport
Daniel Rappaport is a film producer known for working on mainstream Hollywood comedies, including the movie "Office Christmas Party."
-
E.
Ronen Rubinstein
Ronen Rubinstein is an Israeli-American actor best known for starring as firefighter T.K. Strand on the television drama series "9-1-1: Lone Star."
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a38d09881909e8e3c32e9b1746e |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:23 p.m.