Triple

T7130121
Position Surface form Disambiguated ID Type / Status
Subject Peter Scolari E166164 entity
Predicate televisionSeries P3279 FINISHED
Object Girls E246586 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: Girls | Statement: [Peter Scolari, televisionSeries, Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girls
Context triple: [Peter Scolari, televisionSeries, 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. Girl
    "Girl" is Pharrell Williams' 2014 funk- and R&B-infused studio album known for its upbeat, soulful sound and the hit single "Happy."
  • E. Girl
    "Girl" is a 2005 pop-rock song by American musician Beck, known for its catchy melody and surreal, collage-style lyrics.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66dc2388190bdec018f1cc6b20a completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad8d00848190a5a4b9b64b3426e7 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:44 p.m.