Triple
T22536090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In My Lifetime, Vol. 1 |
E557156
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lucky Me |
—
|
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: Lucky Me | Statement: [In My Lifetime, Vol. 1, hasPart, Lucky Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Me Context triple: [In My Lifetime, Vol. 1, hasPart, Lucky Me]
-
A.
Lucky Me
"Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
-
B.
Lucky Me
chosen
"Lucky Me" is a track featured on Big Sean's 2020 hip-hop album "Detroit 2."
-
C.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
D.
Lucky You
"Lucky You" is a hip hop track by Eminem featuring Joyner Lucas, known for its rapid-fire verses and introspective lyrics about success and criticism in the rap industry.
-
E.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edbd1ec81908ef26b9e442d1921 |
completed | April 29, 2026, 1:29 a.m. |
Created at: April 16, 2026, 8:51 p.m.