Triple

T12204003
Position Surface form Disambiguated ID Type / Status
Subject Sound & Color E290790 entity
Predicate hasPart P35 FINISHED
Object Guess Who E290777 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: Guess Who | Statement: [Sound & Color, hasPart, Guess Who]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guess Who
Context triple: [Sound & Color, hasPart, Guess Who]
  • A. Guess Who
    Guess Who is a 2005 comedy film loosely inspired by "Guess Who's Coming to Dinner," featuring Bernie Mac as an overprotective father meeting his daughter's white fiancé.
  • B. Guess Who chosen
    Guess Who is a song by the American rock band Alabama Shakes from their critically acclaimed album "Sound & Color."
  • C. Guess Who? portrait series
    Guess Who? portrait series is a collection of minimalist, concept-driven portraits by illustrator Noma Bar that use bold shapes and negative space to reveal multiple layered images within a single design.
  • D. Clue
    Clue is a 1985 comedy-mystery film, directed by Jonathan Lynn, that adapts the classic murder-mystery board game into a farcical whodunit with multiple endings.
  • E. The Name of the Game
    The Name of the Game is an American television series from the late 1960s and early 1970s that followed the lives of magazine publishing executives through rotating lead characters and storylines.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7c9084819085e7d2f9038f409f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e549e688190967c00f437a388db completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.