Triple

T3313145
Position Surface form Disambiguated ID Type / Status
Subject Hailee Steinfeld E69618 entity
Predicate notableSingle P3283 FINISHED
Object Most Girls E347315 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: Most Girls | Statement: [Hailee Steinfeld, notableSingle, Most Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Most Girls
Context triple: [Hailee Steinfeld, notableSingle, Most Girls]
  • A. Most Girls chosen
    "Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
  • 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. Beautiful Girls
    Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
  • D. Your Girl
    "Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • E. Les Girls
    Les Girls is a 1957 musical comedy film directed by George Cukor, featuring song-and-dance numbers and a Rashomon-style narrative about the romantic entanglements within a touring nightclub act.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a759a3c81908105eae7fd856133 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.