Triple
T2701345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boys & Girls |
E59234
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | I Found You |
E290781
|
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: I Found You | Statement: [Boys & Girls, hasSingle, I Found You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Found You Context triple: [Boys & Girls, hasSingle, I Found You]
-
A.
I Found You
chosen
"I Found You" is a song featured on the album "Boys & Girls."
-
B.
Until I Find You
"Until I Find You" is a semi-autobiographical novel by John Irving that follows an actor’s lifelong search for his absent father, exploring themes of memory, trauma, and identity.
-
C.
You Will Be Found
"You Will Be Found" is an emotional, uplifting anthem from the Broadway musical *Dear Evan Hansen* that explores themes of loneliness, hope, and connection.
-
D.
Thank God I Found You
"Thank God I Found You" is a 1999 R&B and pop ballad by Mariah Carey featuring Joe and 98 Degrees that became a chart-topping single.
-
E.
Gonna Find My Love
"Gonna Find My Love" is a song featured on the album "Human" by the American rock band Three Days Grace.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4c8d34819094f5e4cbc5a4bb9b |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68060288190b03e024048b78a33 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.