Triple
T23473772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Robin |
E570201
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Thanks for the Memory |
—
|
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: Thanks for the Memory | Statement: [Leo Robin, notableWork, Thanks for the Memory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thanks for the Memory Context triple: [Leo Robin, notableWork, Thanks for the Memory]
-
A.
Thanks for the Memory
chosen
"Thanks for the Memory" is a classic 1938 popular song closely associated with Bob Hope, renowned for its wistful, nostalgic lyrics and enduring status as an American standard.
-
B.
In Memory...
"In Memory..." is a song by the English heavy metal band Seventh Star, featured on their debut album.
-
C.
Bring Back the Memories
"Bring Back the Memories" is a song featured on the album *Under the Blue Moon*.
-
D.
Just a Memory
"Just a Memory" is a song featured on the country music album "Side by Side."
-
E.
Something to Remember
"Something to Remember" is a 1995 compilation album by Madonna that focuses on her ballads and softer, more introspective songs.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a70363488190bcbdedec5c2a945c |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:59 p.m.