Triple

T15031033
Position Surface form Disambiguated ID Type / Status
Subject Dance with Me E378342 entity
Predicate writer P1360 FINISHED
Object Doc Pomus E413541 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: Doc Pomus | Statement: [Dance with Me, writer, Doc Pomus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doc Pomus
Context triple: [Dance with Me, writer, Doc Pomus]
  • A. Doc Pomus chosen
    Doc Pomus was an influential American blues singer and songwriter best known for co-writing numerous rock and roll and R&B classics in the 1950s and 1960s.
  • B. Joe Mardin
    Joe Mardin is an American music producer, arranger, and engineer known for his work across pop, R&B, and jazz, and as the son of legendary producer Arif Mardin.
  • C. Jerry Livingston
    Jerry Livingston was an American songwriter and composer best known for his popular film and pop standards, including work on classic Disney songs.
  • D. Johnny Tillotson
    Johnny Tillotson is an American singer-songwriter best known for his early 1960s pop and country hits such as "Poetry in Motion" and "It Keeps Right On a-Hurtin'."
  • E. Harold Livingston
    Harold Livingston was an American novelist and television writer best known for writing the screenplay for the film "Star Trek: The Motion Picture."
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31c0ab08190814c41d852f9f523 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 2:59 a.m.