Triple

T11539265
Position Surface form Disambiguated ID Type / Status
Subject Say It with Songs E273627 entity
Predicate title P38 FINISHED
Object Say It with Songs E273627 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: Say It with Songs | Statement: [Say It with Songs, title, Say It with Songs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Say It with Songs
Context triple: [Say It with Songs, title, Say It with Songs]
  • A. Say It with Songs chosen
    Say It with Songs is a 1929 American musical drama film starring Al Jolson, known for its early use of synchronized sound and song performances.
  • B. Say It With Music
    "Say It With Music" is a popular song by American composer Irving Berlin, known for its sentimental lyrics about expressing emotions through melody.
  • C. Say It Right
    "Say It Right" is a 2006 electro-pop and R&B-influenced hit single by Nelly Furtado, known for its atmospheric production and widespread international chart success.
  • D. I Will Sing You Songs
    "I Will Sing You Songs" is a track by American rock band My Morning Jacket, known for its atmospheric, reverb-heavy sound and emotional, expansive arrangement.
  • E. Sing My Songs to Me
    "Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886deed5c81908e5c38156064f882 completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e685ab77908190ac5d59cf2b8c96bf completed April 20, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:37 p.m.