Triple

T5147869
Position Surface form Disambiguated ID Type / Status
Subject Whatsername E116117 entity
Predicate featuredInSong P626 FINISHED
Object Extraordinary Girl E116122 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: Extraordinary Girl | Statement: [Whatsername, featuredInSong, Extraordinary Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extraordinary Girl
Context triple: [Whatsername, featuredInSong, Extraordinary Girl]
  • A. Extraordinary Girl chosen
    "Extraordinary Girl" is a song from Green Day's rock opera album and Broadway musical "American Idiot," depicting a complex, idealized love interest within the story's narrative.
  • B. My Girls
    "My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
  • C. Your Girl
    "Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • D. For a Girl Becoming
    For a Girl Becoming is a poetic, coming-of-age book by Joy Harjo that blends lyrical prose and Indigenous themes to celebrate a young girl’s journey into womanhood.
  • E. The Girl
    The Girl is a biographical drama film in which Sienna Miller portrays actress Tippi Hedren and explores Alfred Hitchcock’s obsessive relationship with his leading lady during the making of The Birds and Marnie.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78b17028819080568715df8c13eb completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becffa6a2881908f4b1ef85bdcce30 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:43 p.m.