Triple
T10931960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Greer |
E258228
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
You for Me
"You for Me" is a 1952 romantic comedy film starring Jane Greer, centered on a love triangle involving a nurse, a wealthy patient, and a doctor.
|
E893647
|
NE FINISHED |
How this triple was built (4 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 for Me | Statement: [Jane Greer, notableWork, You for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You for Me Context triple: [Jane Greer, notableWork, You for Me]
-
A.
For You For Me
"For You For Me" is a track from Jon Anderson’s 1980 progressive rock solo album "Song of Seven."
-
B.
That’s for Me
"That’s for Me" is a romantic song by Richard Rodgers and Oscar Hammerstein II, introduced by Dick Haymes in the 1945 musical film *State Fair*.
-
C.
Someone for Me
"Someone for Me" is a song best known as the B-side to the single "Thinking About You."
-
D.
Die For You
"Die For You" is a popular R&B song by Canadian singer The Weeknd, known for its emotive vocals, atmospheric production, and enduring chart success.
-
E.
Just You 'n' Me
"Just You 'n' Me" is a 1973 soft rock ballad by the American band Chicago, written by James Pankow and known for its prominent horn arrangements and romantic lyrics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: You for Me Triple: [Jane Greer, notableWork, You for Me]
Generated description
"You for Me" is a 1952 romantic comedy film starring Jane Greer, centered on a love triangle involving a nurse, a wealthy patient, and a doctor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You for Me Target entity description: "You for Me" is a 1952 romantic comedy film starring Jane Greer, centered on a love triangle involving a nurse, a wealthy patient, and a doctor.
-
A.
For You For Me
"For You For Me" is a track from Jon Anderson’s 1980 progressive rock solo album "Song of Seven."
-
B.
That’s for Me
"That’s for Me" is a romantic song by Richard Rodgers and Oscar Hammerstein II, introduced by Dick Haymes in the 1945 musical film *State Fair*.
-
C.
Someone for Me
"Someone for Me" is a song best known as the B-side to the single "Thinking About You."
-
D.
Die For You
"Die For You" is a popular R&B song by Canadian singer The Weeknd, known for its emotive vocals, atmospheric production, and enduring chart success.
-
E.
Just You 'n' Me
"Just You 'n' Me" is a 1973 soft rock ballad by the American band Chicago, written by James Pankow and known for its prominent horn arrangements and romantic lyrics.
- F. None of above. chosen
Provenance (5 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770a062f481908beb76c6dbaeb6a6 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2176328448190bbce6735ec97507a |
completed | April 17, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69e21d8aea2881908ac8f5225b8739c5 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eb18a1881908ded331db89063ed |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:23 p.m.