Triple
T20443968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MercyMe |
E501467
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Lifer
"Lifer" is a contemporary Christian music album by MercyMe known for its upbeat pop-rock sound and faith-centered, encouraging lyrics.
|
E1431171
|
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: Lifer | Statement: [MercyMe, album, Lifer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lifer Context triple: [MercyMe, album, Lifer]
-
A.
Lifer
"Lifer" is a studio album by the Baltimore noise rock band Dope Body, showcasing their aggressive, experimental rock sound.
-
B.
Don Life
Don Life is a track from Big Sean’s album "Detroit 2," known for its energetic production and motivational, success-focused lyrics.
-
C.
Lifetime
Lifetime is an American cable television network known for its original movies and series primarily targeting a female audience.
-
D.
Lifetime
Lifetime is an influential American melodic hardcore punk band known for its emotionally charged lyrics and impact on the New Jersey punk scene.
-
E.
Lifening
Lifening is a reflective, melodic song by the Northern Irish rock band Snow Patrol that focuses on themes of love, family, and the simple moments that make life meaningful.
- 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: Lifer Triple: [MercyMe, album, Lifer]
Generated description
"Lifer" is a contemporary Christian music album by MercyMe known for its upbeat pop-rock sound and faith-centered, encouraging lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lifer Target entity description: "Lifer" is a contemporary Christian music album by MercyMe known for its upbeat pop-rock sound and faith-centered, encouraging lyrics.
-
A.
Lifer
"Lifer" is a studio album by the Baltimore noise rock band Dope Body, showcasing their aggressive, experimental rock sound.
-
B.
Don Life
Don Life is a track from Big Sean’s album "Detroit 2," known for its energetic production and motivational, success-focused lyrics.
-
C.
Lifetime
Lifetime is an American cable television network known for its original movies and series primarily targeting a female audience.
-
D.
Lifetime
Lifetime is an influential American melodic hardcore punk band known for its emotionally charged lyrics and impact on the New Jersey punk scene.
-
E.
Lifening
Lifening is a reflective, melodic song by the Northern Irish rock band Snow Patrol that focuses on themes of love, family, and the simple moments that make life meaningful.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfa7dd08190883a37e3480b152c |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088401774081909ac697258222235b |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0884aeb868819089de185429e0d99d |
completed | May 16, 2026, 2:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885a1276c8190bc8a843386d6be6a |
completed | May 16, 2026, 2:56 p.m. |
Created at: April 16, 2026, 11:32 a.m.