Triple

T11172938
Position Surface form Disambiguated ID Type / Status
Subject LaTavia Roberson E264329 entity
Predicate associatedAct P37 FINISHED
Object Girls Tyme E240149 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 Tyme | Statement: [LaTavia Roberson, associatedAct, Girls Tyme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girls Tyme
Context triple: [LaTavia Roberson, associatedAct, Girls Tyme]
  • A. Girl's Tyme chosen
    Girl's Tyme was the original name of the R&B girl group that later rose to fame as Destiny's Child.
  • 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. Most Girls
    "Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
  • D. 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.
  • E. For the Girls
    For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463c03a948190b0f40f657180c9bf completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.