Triple

T9699064
Position Surface form Disambiguated ID Type / Status
Subject Jules Bihari E234727 entity
Predicate employer P7 FINISHED
Object Modern Records E174862 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: Modern Records | Statement: [Jules Bihari, employer, Modern Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modern Records
Context triple: [Jules Bihari, employer, Modern Records]
  • A. Modern Records chosen
    Modern Records was an American independent record label known for its influential rhythm and blues and early rock and roll releases in the mid-20th century.
  • B. One Records
    One Records is a music label known for releasing hip-hop projects, including work by rapper Fashawn.
  • C. Proper Records
    Proper Records is an independent music label known for releasing and distributing albums by artists such as blues guitarist Jimmie Vaughan.
  • D. Homestead Records
    Homestead Records was an influential American independent record label active in the 1980s and early 1990s, known for releasing pioneering underground rock, punk, and noise music.
  • E. London Records
    London Records is a historic British-American record label known for releasing and distributing a wide range of popular and classical music, particularly in the mid-20th century.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3d425c8190b652d84186b5ce9f completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912a551c8190bd6b48790f117f71 completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:18 p.m.