Triple

T19607093
Position Surface form Disambiguated ID Type / Status
Subject Can't Smile Without You E470634 entity
Predicate lyricist P1360 FINISHED
Object David Martin 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: David Martin | Statement: [Can't Smile Without You, lyricist, David Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Martin
Context triple: [Can't Smile Without You, lyricist, David Martin]
  • A. David Martin
    David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
  • B. David Martin chosen
    David Martin is a songwriter best known for co-writing the pop ballad "Can't Smile Without You," popularized by Barry Manilow.
  • C. Dave Martin
    Dave Martin was a British television writer best known for his work on the science fiction series Doctor Who, often collaborating with Bob Baker.
  • D. Sam Martin
    Sam Martin is an American singer and songwriter best known for his vocal features on electronic dance music tracks and collaborations with prominent DJs.
  • E. Michael Boughen
    Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c8aae8819086337e364724f1cb completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.