Triple
T7876045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Merrill |
E182855
|
entity |
| Predicate | performerIn |
P17435
|
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, performerIn, Boy Meets Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boy Meets Girl Context triple: [George Merrill, performerIn, 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_69cdc622b1d08190b8d840a58712ef3b |
completed | April 2, 2026, 1:28 a.m. |
Created at: March 30, 2026, 4:57 p.m.