Triple

T22122601
Position Surface form Disambiguated ID Type / Status
Subject Andrew Bujalski E546708 entity
Predicate notableWork P4 FINISHED
Object Support the Girls 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: Support the Girls | Statement: [Andrew Bujalski, notableWork, Support the Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Support the Girls
Context triple: [Andrew Bujalski, notableWork, Support the Girls]
  • A. Support the Girls chosen
    Support the Girls is a 2018 indie comedy-drama film that follows the overworked manager of a roadside sports bar as she navigates a chaotic day supporting her staff and customers.
  • B. For the Girls
    For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
  • C. These Girls
    "These Girls" is a song by American singer-songwriter Ryan Adams from his 2007 album *Easy Tiger*.
  • D. The Girls Want to Be with the Girls
    "The Girls Want to Be with the Girls" is a quirky, rhythmically driven art-rock song by Talking Heads that explores gender roles and social expectations.
  • E. The Girls
    "The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1297f3fb48190b6aaca18b40c37ab completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.