Triple
T13078540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ArtScience |
E329640
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Find You |
E826981
|
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: Find You | Statement: [ArtScience, hasPart, Find You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Find You Context triple: [ArtScience, hasPart, Find You]
-
A.
Find You
chosen
"Find You" is a 2014 electronic dance music track by Zedd featuring Matthew Koma and Miriam Bryant, known for its melodic progressive house style and inclusion on the "Divergent" film soundtrack.
-
B.
I Found You
"I Found You" is a song featured on the album "Boys & Girls."
-
C.
I Found You
"I Found You" is a song that served as the original version of James Brown's classic hit "I Got You (I Feel Good)."
-
D.
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.
-
E.
Find Me Finding You
Find Me Finding You is a solo studio album by French musician Laetitia Sadier, blending avant-pop, indie, and politically tinged lyrics.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60aaac48190b5b724a19cad5279 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.