Triple

T9367111
Position Surface form Disambiguated ID Type / Status
Subject Dancing in the Dark E225428 entity
Predicate lyricsBy P1141 FINISHED
Object Howard Dietz E289275 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: Howard Dietz | Statement: [Dancing in the Dark, lyricsBy, Howard Dietz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Dietz
Context triple: [Dancing in the Dark, lyricsBy, Howard Dietz]
  • A. Howard Dietz chosen
    Howard Dietz was an American lyricist and MGM publicity director best known for his long collaboration with composer Arthur Schwartz and for co-creating classic Broadway musicals and songs.
  • B. Robert Dietrich
    Robert Dietrich is a pseudonym used by E. Howard Hunt, an American intelligence officer and author known for his role in the Watergate scandal.
  • C. Howard Bilerman
    Howard Bilerman is a Canadian drummer, audio engineer, and record producer best known for his work with Arcade Fire and numerous influential indie rock recordings.
  • D. Paul Biegler
    Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
  • E. Paul Dietrich
    Paul Dietrich is an architect best known as one of the founders of the design and planning firm Cambridge Seven Associates.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5042c89c8190994b12cf7600c366 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2572f5ccc81909f967dc69a8ae260 completed April 5, 2026, 12:35 p.m.
Created at: March 30, 2026, 7:43 p.m.