Triple

T2413286
Position Surface form Disambiguated ID Type / Status
Subject I Say a Little Prayer E52243 entity
Predicate writer P1360 FINISHED
Object Burt Bacharach E26422 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: Burt Bacharach | Statement: [I Say a Little Prayer, writer, Burt Bacharach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burt Bacharach
Context triple: [I Say a Little Prayer, writer, Burt Bacharach]
  • A. Burt Bacharach chosen
    Burt Bacharach was an influential American composer, songwriter, and pianist best known for his sophisticated pop melodies and numerous hit collaborations with lyricist Hal David.
  • B. Gerry Goffin
    Gerry Goffin was an American lyricist best known for his prolific 1960s songwriting partnership with Carole King, creating numerous classic pop and soul hits.
  • C. Carole Bayer Sager
    Carole Bayer Sager is an American songwriter and lyricist renowned for numerous pop and film hits, including "That's What Friends Are For" and "Arthur's Theme (Best That You Can Do)."
  • D. Mack David
    Mack David was an American lyricist and songwriter known for his popular song adaptations and contributions to film and television music.
  • E. Jule Styne
    Jule Styne was a prolific American composer best known for his Broadway and film musical scores, including classics like "Gypsy" and "Funny Girl."
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc92a4e1c8190819fa676295ac145 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf43c1fc8190ae66bd88ad4c7a6b completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:41 p.m.