Triple

T9056787
Position Surface form Disambiguated ID Type / Status
Subject Bob Ludwig E217020 entity
Predicate name P16 FINISHED
Object Bob Ludwig E217020 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: Bob Ludwig | Statement: [Bob Ludwig, name, Bob Ludwig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Ludwig
Context triple: [Bob Ludwig, name, Bob Ludwig]
  • A. Bob Ludwig chosen
    Bob Ludwig is a renowned American audio mastering engineer celebrated for his work on countless major albums across multiple genres.
  • B. Bob Johnston
    Bob Johnston was an American record producer best known for his work with Bob Dylan, Johnny Cash, and other major artists in the 1960s and 1970s.
  • C. Bruce Swedien
    Bruce Swedien was a renowned American audio engineer and producer best known for his innovative recording and mixing work on Michael Jackson’s classic albums, particularly "Thriller."
  • D. Chris Lord-Alge
    Chris Lord-Alge is a renowned American mix engineer and producer known for his punchy, radio-ready rock and pop mixes for major artists.
  • E. Al Schmitt
    Al Schmitt was a highly acclaimed American recording engineer and record producer known for his work with artists across jazz, rock, and pop, earning multiple Grammy Awards over his long career.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a75d8e881909414d745ec054182 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebe40ec08190a1da2aa1c6577723 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.