Triple
T10874229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonesome, On'ry and Mean |
E256733
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | You Can Have Her |
E891499
|
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: You Can Have Her | Statement: [Lonesome, On'ry and Mean, hasTrack, You Can Have Her]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Can Have Her Context triple: [Lonesome, On'ry and Mean, hasTrack, You Can Have Her]
-
A.
You Can Have Her
chosen
"You Can Have Her" is a country song popularized by Waylon Jennings and featured on his live album "Waylon Live."
-
B.
Anything for Her
Anything for Her is a 2008 French thriller film starring Vincent Lindon as a man who devises a desperate plan to break his wrongfully imprisoned wife out of jail.
-
C.
The Lady Says No
The Lady Says No is a 1951 romantic comedy film starring Joan Caulfield as a feminist author whose views on love are challenged by a brash male journalist.
-
D.
Her Too
"Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
-
E.
The Lady Who Dared
The Lady Who Dared is a 1931 American pre-Code drama film starring silent-era leading lady Billie Dove in one of her notable sound-era roles.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751891b508190959784f212e06acb |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2168b4ba48190b68955ec17a5607b |
completed | April 17, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:21 p.m.