Triple
T21341267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Spewack |
E526196
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Boy Meets Girl |
—
|
NE NERFINISHED |
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: [Samuel Spewack, notableWork, Boy Meets Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boy Meets Girl Context triple: [Samuel Spewack, notableWork, Boy Meets Girl]
-
A.
Boy Meets Girl
Boy Meets Girl is an American pop duo best known for their 1988 hit single "Waiting for a Star to Fall."
-
B.
Boy Meets Girl
Boy Meets Girl is a 1984 French black-and-white romantic drama film, marking Leos Carax’s feature debut and showcasing his distinctive poetic and visually stylized filmmaking.
-
C.
Boy Meets Girl
chosen
Boy Meets Girl is a 1935 Broadway screwball comedy play, later adapted into a film, satirizing Hollywood studio life and screenwriting.
-
D.
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.
-
E.
Getting the Girl
Getting the Girl is a young adult novel by Markus Zusak that follows a teenage boy navigating love, friendship, and identity in suburban Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba7ce3c8190ba5ded980a9866f2 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 4:44 p.m.