Triple

T3843596
Position Surface form Disambiguated ID Type / Status
Subject Wait Til You See My Smile E93511 entity
Predicate hasMusicVideo P3287 FINISHED
Object Yes E123568 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: Yes | Statement: [Wait Til You See My Smile, hasMusicVideo, Yes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes
Context triple: [Wait Til You See My Smile, hasMusicVideo, Yes]
  • A. Yes chosen
    "Yes" is the title of the official music video for James Blunt's song "Goodbye My Lover."
  • B. Yes
    Yes is an English progressive rock band best known for its complex compositions, virtuosic musicianship, and influential albums like "Fragile" and "Close to the Edge."
  • C. yes
    yes is the high-definition television feed of the YES Network, providing its sports programming in HD quality.
  • D. No and Yes
    "No and Yes" is a theological work by Mary Baker Eddy that clarifies and defends the principles of Christian Science in response to contemporary religious criticism.
  • E. No
    No is the chemical symbol for nobelium, a synthetic radioactive element in the actinide series of the periodic table.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040f93948190b104cf1b7db671b7 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.