Triple

T3292055
Position Surface form Disambiguated ID Type / Status
Subject The Danish Girl E69123 entity
Predicate productionCompany P490 FINISHED
Object Pretty Pictures E285490 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: Pretty Pictures | Statement: [The Danish Girl, productionCompany, Pretty Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pretty Pictures
Context triple: [The Danish Girl, productionCompany, Pretty Pictures]
  • A. Pretty Pictures chosen
    Pretty Pictures is a film production company known for producing feature films such as the drama "News of the World."
  • B. Picture Perfect Morning
    "Picture Perfect Morning" is the 1994 debut solo studio album by American singer-songwriter Edie Brickell, blending folk, pop, and rock influences.
  • C. Picture Picture
    Picture Picture is a recurring segment on the children's television show "Mister Rogers' Neighborhood" that uses films or videos to show how everyday things are made or work.
  • D. Ain't It Pretty
    "Ain't It Pretty" is a track from Will.i.am’s pop and hip hop-influenced album "Songs About Girls."
  • E. Images à la sauvette
    Images à la sauvette is a seminal 1952 photography book by Henri Cartier-Bresson that helped define the concept of the “decisive moment” in street and documentary photography.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07379dc8190b7bb409bcf42bdd6 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8654e8481908f4a8efa219edc54 completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.