Triple
T21556348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I'm Honest |
E531901
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | A Guy with a Girl |
E528039
|
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: A Guy with a Girl | Statement: [If I'm Honest, hasPart, A Guy with a Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Guy with a Girl Context triple: [If I'm Honest, hasPart, A Guy with a Girl]
-
A.
A Guy with a Girl
chosen
"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."
-
B.
Two Guys and a Girl
Two Guys and a Girl is an American sitcom that follows the comedic lives and relationships of three friends in Boston, originally centered around their jobs at a pizza place.
-
C.
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.
-
D.
Got a Girl
Got a Girl is a pop music duo and side project of actress-singer Mary Elizabeth Winstead, known for its retro, French-influenced sound created in collaboration with producer Dan the Automator.
-
E.
A Guy Thing
A Guy Thing is a 2003 romantic comedy film about a groom-to-be whose life spirals into chaos after a wild bachelor party leads to a series of misunderstandings and romantic complications.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eee7651081909a7d940d6fa38f4a |
completed | May 17, 2026, 4:37 p.m. |
Created at: April 16, 2026, 6:29 p.m.