Triple
T20542614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear Ol’ Dad |
E504384
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Dear Ol’ Dad |
—
|
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: Dear Ol’ Dad | Statement: [Dear Ol’ Dad, title, Dear Ol’ Dad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Ol’ Dad Context triple: [Dear Ol’ Dad, title, Dear Ol’ Dad]
-
A.
Dear Ol’ Dad
chosen
"Dear Ol’ Dad" is a song featured on the compilation album Classic Masters.
-
B.
My Dad
"My Dad" is a sentimental song popularized by its performance on the classic American television sitcom *The Donna Reed Show*.
-
C.
Letters from a Father to His Son
Letters from a Father to His Son is an 18th-century collection of didactic and moral essays written in epistolary form by English physician and writer John Aikin to instruct and guide his son.
-
D.
Daddy Lessons
"Daddy Lessons" is a country-influenced song by Beyoncé from her critically acclaimed visual album *Lemonade*.
-
E.
Father’s Son
Father’s Son is a track by American singer-songwriter Tori Amos from her 2007 concept album American Doll Posse.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a293feac8190b27848b64f2db1fe |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.