Triple

T3819950
Position Surface form Disambiguated ID Type / Status
Subject The Paper E84347 entity
Predicate composer P1361 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: [The Paper, composer, Randy Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randy Newman
Context triple: [The Paper, composer, 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. Thom Bell
    Thom Bell was a pioneering American record producer, arranger, and songwriter, best known as a key architect of the lush, orchestral Philadelphia soul sound of the 1970s.
  • 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. 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."
  • E. Jud Ashman
    Jud Ashman is an American local politician who serves as the mayor of Gaithersburg, Maryland.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea601d408190b09dc486e77488d4 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb466a108190ac203ee00ce58f04 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.