Triple
T9821645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Bihari |
E238544
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Jules Bihari |
E234727
|
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: Jules Bihari | Statement: [Joe Bihari, sibling, Jules Bihari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jules Bihari Context triple: [Joe Bihari, sibling, Jules Bihari]
-
A.
Jules Bihari
chosen
Jules Bihari was an American record executive and producer best known as one of the Bihari brothers who helped shape postwar blues and early rock and roll through their work with labels like Modern and Kent Records.
-
B.
Georges Bermann
Georges Bermann is a French film producer known for his work on innovative and offbeat films, including Michel Gondry’s "Be Kind Rewind."
-
C.
Jules Ostin
Jules Ostin is the driven, overworked founder and CEO of an online fashion startup portrayed by Anne Hathaway in the film "The Intern."
-
D.
Jules Sitruk
Jules Sitruk is a French actor known for his early roles in films such as "Monsieur Batignole" and "Son of Rambow."
-
E.
Jules Schermer
Jules Schermer was a film producer active in mid-20th-century American cinema.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3147ecc81908cfca84c05a367d9 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc7ce1908190a5131ef238541f0d |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.