Triple

T9780659
Position Surface form Disambiguated ID Type / Status
Subject Busy Philipps E237359 entity
Predicate televisionSeries P3279 FINISHED
Object Girls5eva E393004 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: Girls5eva | Statement: [Busy Philipps, televisionSeries, Girls5eva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girls5eva
Context triple: [Busy Philipps, televisionSeries, Girls5eva]
  • A. Girls5eva chosen
    Girls5eva is a comedic television series about a former one-hit-wonder girl group reuniting in middle age, known for its sharp satire of pop culture and music industry nostalgia.
  • B. The Girls
    "The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
  • C. Girls Town
    Girls Town is a 1996 independent drama film about three teenage girls confronting sexism and violence, noted for its raw, feminist perspective and ensemble cast including Lili Taylor.
  • D. For the Girls
    For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
  • E. The Gossips
    The Gossips is a 1948 Norman Rockwell painting that humorously depicts a chain of people passing along a piece of gossip, culminating with the originator confronted at the end.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41b31b08190937f374c2d51aa1b completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.