Triple

T13171149
Position Surface form Disambiguated ID Type / Status
Subject Stephen Bishop E312977 entity
Predicate notableWork P4 FINISHED
Object It Might Be You E310275 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: It Might Be You | Statement: [Stephen Bishop, notableWork, It Might Be You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: It Might Be You
Context triple: [Stephen Bishop, notableWork, It Might Be You]
  • A. It Might Be You chosen
    "It Might Be You" is a romantic ballad performed by Stephen Bishop that became widely known as the love theme from the 1982 film *Tootsie*.
  • B. It's You
    "It's You" is a studio album by American progressive rock and jam band Umphrey's McGee, known for its intricate musicianship and genre-blending compositions.
  • C. It Had to Be You
    "It Had to Be You" is a classic 1924 popular song by Isham Jones and Gus Kahn that has become a jazz and pop standard, widely recorded and featured in numerous films and performances.
  • D. Nobody but You
    "Nobody but You" is a country duet by Blake Shelton and Gwen Stefani that became a popular romantic hit upon its release in 2020.
  • E. Always You
    "Always You" is an R&B song by American singer James Ingram, known for its smooth vocals and romantic, soulful style.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafb81288190a6dcc3bd872998d8 completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:13 p.m.