Triple

T6891096
Position Surface form Disambiguated ID Type / Status
Subject Babes in Arms E159046 entity
Predicate lyricist P1360 FINISHED
Object Lorenz Hart E188116 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: Lorenz Hart | Statement: [Babes in Arms, lyricist, Lorenz Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenz Hart
Context triple: [Babes in Arms, lyricist, Lorenz Hart]
  • A. Lorenz Hart chosen
    Lorenz Hart was an American lyricist best known for his witty, sophisticated songs written with composer Richard Rodgers for Broadway musicals in the early 20th century.
  • B. Sammy Cahn
    Sammy Cahn was an American lyricist renowned for his prolific output of popular standards and multiple Oscar-winning film songs, including classics like "Three Coins in the Fountain" and "All the Way."
  • C. Hal David
    Hal David was an American lyricist renowned for his long-running partnership with composer Burt Bacharach, together creating numerous classic pop hits of the 1960s and 1970s.
  • D. Vincent Youmans
    Vincent Youmans was an American Broadway and film composer of the early 20th century, best known for classic standards such as "Tea for Two" and "Hallelujah!"
  • E. Frank Loesser
    Frank Loesser was an American songwriter and composer best known for his work on Broadway musicals such as "Guys and Dolls" and "How to Succeed in Business Without Really Trying," as well as numerous popular standards.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92d45f08190a730b3842c95b521 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9952ebfec819096a393b1231a1703 completed March 29, 2026, 9:10 p.m.
Created at: March 27, 2026, 2:24 p.m.