Triple

T7680513
Position Surface form Disambiguated ID Type / Status
Subject Max Perlich E173979 entity
Predicate notableWork P4 FINISHED
Object Beautiful Girls E186717 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: Beautiful Girls | Statement: [Max Perlich, notableWork, Beautiful Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beautiful Girls
Context triple: [Max Perlich, notableWork, Beautiful Girls]
  • A. Beautiful Girls chosen
    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.
  • B. Beautiful Girls
    "Beautiful Girls" is a 2007 reggae-influenced pop song by Sean Kingston that became a worldwide hit known for its catchy melody and doo-wop-inspired hook.
  • C. 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.
  • 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. Most Girls
    "Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701ffc1fc8190bc9c2b1f3bb37f0d completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a24de3a48190a92009b6092b09d0 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.