Triple

T19257826
Position Surface form Disambiguated ID Type / Status
Subject All American Girls E481561 entity
Predicate titleTrack P8087 FINISHED
Object All American 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: All American Girls | Statement: [All American Girls, titleTrack, All American Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All American Girls
Context triple: [All American Girls, titleTrack, All American Girls]
  • A. All American Girls chosen
    All American Girls is a 1981 R&B/disco album by Sister Sledge that showcases the group's transition into more funk- and pop-oriented sounds.
  • B. American Girls
    American Girls is a song by the rock band Hard Candy, likely reflecting their alternative or pop-rock style and themes.
  • C. All-American Girl
    All-American Girl is a 1990s American sitcom best known as one of the first network television shows to center on an Asian American family, starring comedian Margaret Cho.
  • D. American Girl
    "American Girl" is a classic rock song by Tom Petty and the Heartbreakers, known for its jangly guitars, driving rhythm, and enduring popularity since its 1976 release.
  • E. Most Girls
    "Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8752488190ae2dfd2d79373a4b completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.