Triple
T11431418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Lanza |
E270889
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Because You’re Mine |
E503700
|
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: Because You’re Mine | Statement: [Mario Lanza, notableSong, Because You’re Mine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Because You’re Mine Context triple: [Mario Lanza, notableSong, Because You’re Mine]
-
A.
Because You’re Mine
chosen
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Be Mine
"Be Mine" is a track featured on the album "Boys & Girls."
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8e212088190b611333d5de05757 |
completed | April 20, 2026, 5:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.