Triple

T14252225
Position Surface form Disambiguated ID Type / Status
Subject Marianne Koch E353297 entity
Predicate notableWork P4 FINISHED
Object Four Girls in Town E1029326 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: Four Girls in Town | Statement: [Marianne Koch, notableWork, Four Girls in Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Four Girls in Town
Context triple: [Marianne Koch, notableWork, Four Girls in Town]
  • A. Four Girls in Town chosen
    Four Girls in Town is a 1957 romantic drama film about four aspiring actresses competing for a coveted role in a major movie production.
  • B. Three Girls About Town
    Three Girls About Town is a 1941 American comedy film featuring Brenda Joyce in a lighthearted story about three sisters working as convention hostesses in a bustling hotel.
  • C. There's a New Girl in Town
    "There's a New Girl in Town" is the theme song used as the opening music for the American sitcom "Alice."
  • D. Two Girls
    "Two Girls" is a figurative painting by American artist Isabel Bishop, exemplifying her nuanced depictions of everyday urban women in mid-20th-century New York.
  • E. Light Girls
    Light Girls is a documentary film that explores the experiences, challenges, and cultural perceptions surrounding light-skinned Black women.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325a14b881909522b6fbbcc6326f completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.