Triple

T20700198
Position Surface form Disambiguated ID Type / Status
Subject My Foolish Heart E508757 entity
Predicate hasNotableRecordingBy P1152 FINISHED
Object Martha Tilton NE NERFINISHED

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: Martha Tilton | Statement: [My Foolish Heart, hasNotableRecordingBy, Martha Tilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Tilton
Context triple: [My Foolish Heart, hasNotableRecordingBy, Martha Tilton]
  • A. Martha Tilton chosen
    Martha Tilton was an American popular singer best known as a featured vocalist with Benny Goodman's band during the swing era of the late 1930s and 1940s.
  • B. Martha Tilson
    Martha Tilson is a vocalist best known for her work with the influential English post-punk band A Certain Ratio.
  • C. Martha Dix
    Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
  • D. Martha Pattridge
    Martha Pattridge is known as the wife of longtime Manhattan District Attorney Robert M. Morgenthau.
  • E. Martha Hunt
    Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18a77308190b7c2517d82a145cd completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.