Triple

T18507491
Position Surface form Disambiguated ID Type / Status
Subject Jake Lacy E452237 entity
Predicate notableWork P4 FINISHED
Object 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: Girls | Statement: [Jake Lacy, notableWork, Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girls
Context triple: [Jake Lacy, notableWork, Girls]
  • A. Girls
    "Girls" is a song by the Beastie Boys from their influential debut album "Licensed to Ill," known for its minimalist production and controversial, tongue-in-cheek lyrics about gender roles.
  • B. Girls chosen
    Girls is an HBO comedy-drama television series created by and starring Lena Dunham that follows a group of young women navigating life and relationships in New York City.
  • C. Girls
    "Girls" is a hip-hop track by Kid Cudi from his album *Indicud*, known for its playful, upbeat production and focus on nightlife and relationships.
  • D. Girls
    "Girls" is a catchy, guitar-driven indie pop song by English band The 1975, known for its upbeat sound and exploration of youthful relationships and confusion.
  • E. Young Girls
    "Young Girls" is a pop song by Bruno Mars from his 2012 album *Unorthodox Jukebox*, known for its nostalgic production and lyrics about conflicted romantic desires.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.