Triple

T7876033
Position Surface form Disambiguated ID Type / Status
Subject George Merrill E182855 entity
Predicate memberOf P10 FINISHED
Object Boy Meets Girl E182850 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: Boy Meets Girl | Statement: [George Merrill, memberOf, Boy Meets Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boy Meets Girl
Context triple: [George Merrill, memberOf, Boy Meets Girl]
  • A. Boy Meets Girl chosen
    Boy Meets Girl is an American pop duo best known for their 1988 hit single "Waiting for a Star to Fall."
  • B. Girl Meets Boy
    Girl Meets Boy is a contemporary novel by Ali Smith that reimagines the myth of Iphis and Ianthe as a modern queer love story exploring gender, identity, and storytelling.
  • C. A Guy with a Girl
    "A Guy with a Girl" is a country song by American singer Blake Shelton, released as a single from his 2016 album "If I'm Honest."
  • D. The Girl Friend
    The Girl Friend is a 1926 Broadway musical comedy with music by Richard Rodgers and lyrics by Lorenz Hart that helped establish their early success on the New York stage.
  • E. Looking for the Girl
    "Looking for the Girl" is a short story by Neil Gaiman, featured in his collection *Smoke and Mirrors*, that blends dark fantasy with themes of obsession and memory.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39aa7ca88190b88a18f6a8971e51 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9423b4608190acbe4a3141890a05 completed April 1, 2026, 9:54 p.m.
Created at: March 30, 2026, 4:57 p.m.