Triple

T2124652
Position Surface form Disambiguated ID Type / Status
Subject Cars E46398 entity
Predicate musicBy P1952 FINISHED
Object Randy Newman E39396 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: Randy Newman | Statement: [Cars, musicBy, Randy Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randy Newman
Context triple: [Cars, musicBy, Randy Newman]
  • A. Randy Newman chosen
    Randy Newman is an American singer-songwriter, composer, and pianist renowned for his satirical pop songs and acclaimed film scores, including work on numerous Pixar movies.
  • B. 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)."
  • C. Hugh Martin
    Hugh Martin was an American composer and songwriter best known for his work on classic Hollywood musicals, including writing enduring standards for films like "Meet Me in St. Louis."
  • D. Jud Ashman
    Jud Ashman is an American local politician who serves as the mayor of Gaithersburg, Maryland.
  • E. Johnny Marks
    Johnny Marks was an American songwriter best known for composing classic Christmas songs, including "Rudolph the Red-Nosed Reindeer."
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6533c7f081909860c89a2a53ad49 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:44 p.m.