Triple
T23061849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pour elle |
E574922
|
entity |
| Predicate | translatedTitle |
P6688
|
FINISHED |
| Object | Anything for Her |
—
|
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: Anything for Her | Statement: [Pour elle, translatedTitle, Anything for Her]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anything for Her Context triple: [Pour elle, translatedTitle, Anything for Her]
-
A.
Anything for Her
chosen
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.
-
B.
Don't Marry Her
"Don't Marry Her" is a 1996 pop song by British band The Beautiful South, known for its wry, satirical lyrics about relationships and suburban life.
-
C.
You Can Have Her
"You Can Have Her" is a country song popularized by Waylon Jennings and featured on his live album "Waylon Live."
-
D.
I’ve Had Her
"I’ve Had Her" is a song by American singer-songwriter Phil Ochs, featured on his 1967 album *Pleasures of the Harbor*.
-
E.
Anything for You
"Anything for You" is a 1988 pop ballad by Cuban-American singer Gloria Estefan that became one of her signature hits and a major international success.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.