Triple
T5214157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Pasternak |
E117706
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object |
Because You’re Mine
Because You’re Mine is a 1952 musical romantic comedy film starring Mario Lanza as an opera singer who falls in love while serving in the U.S. Army.
|
E503700
|
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: Because You’re Mine | Statement: [Joe Pasternak, produced, Because You’re Mine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Because You’re Mine Context triple: [Joe Pasternak, produced, Because You’re Mine]
-
A.
You’re Mine
"You’re Mine" is a song by South Korean singer-songwriter CK, known for its smooth blend of R&B and hip-hop elements.
-
B.
You Could Be Mine
"You Could Be Mine" is a hard rock song by Guns N' Roses, best known for its prominent use in the film Terminator 2: Judgment Day.
-
C.
All Mine
"All Mine" is a minimalist, sexually charged R&B track by Kanye West (Ye) from his 2018 album *Ye*, known for its sparse production and catchy vocal hook.
-
D.
Be Mine
"Be Mine" is a track featured on the album "Boys & Girls."
-
E.
Be Mine
"Be Mine" is a song featured on the album "What Comes Naturally."
- 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: Because You’re Mine Triple: [Joe Pasternak, produced, Because You’re Mine]
Generated description
Because You’re Mine is a 1952 musical romantic comedy film starring Mario Lanza as an opera singer who falls in love while serving in the U.S. Army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Because You’re Mine Target entity description: Because You’re Mine is a 1952 musical romantic comedy film starring Mario Lanza as an opera singer who falls in love while serving in the U.S. Army.
-
A.
You’re Mine
"You’re Mine" is a song by South Korean singer-songwriter CK, known for its smooth blend of R&B and hip-hop elements.
-
B.
You Could Be Mine
"You Could Be Mine" is a hard rock song by Guns N' Roses, best known for its prominent use in the film Terminator 2: Judgment Day.
-
C.
All Mine
"All Mine" is a minimalist, sexually charged R&B track by Kanye West (Ye) from his 2018 album *Ye*, known for its sparse production and catchy vocal hook.
-
D.
Be Mine
"Be Mine" is a track featured on the album "Boys & Girls."
-
E.
Be Mine
"Be Mine" is a song featured on the album "What Comes Naturally."
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a911d40819086621537274dc0f0 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefe325988190b35e3502f147c9c2 |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef0b2b6448190be1c465738be741b |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef121817c8190aebd27ee34c0a419 |
completed | March 21, 2026, 7:27 p.m. |
Created at: March 20, 2026, 1:47 p.m.