Triple
T1812132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucius |
E40353
|
entity |
| Predicate | release |
P5043
|
FINISHED |
| Object |
Good Grief
Good Grief is the debut studio album by American indie pop band Lucius, noted for its lush harmonies and polished, hook-driven sound.
|
E200773
|
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: Good Grief | Statement: [Lucius, release, Good Grief]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Grief Context triple: [Lucius, release, Good Grief]
-
A.
Cry to Laugh
"Cry to Laugh" is a song featured on the album *Heigh Ho* by American singer-songwriter Blake Mills.
-
B.
Bliss
"Bliss" is a track from Mariah Carey's 1999 album "Rainbow," known for its sensual lyrics and layered vocal arrangements.
-
C.
Bliss
"Bliss" is a song featured on Taylor Swift’s album *Lover*, known for its upbeat pop sound and emotionally charged lyrics.
-
D.
The Gift
The Gift is a 2000 supernatural thriller film directed by Sam Raimi, centered on a Southern clairvoyant whose psychic visions entangle her in a murder investigation.
-
E.
No Hard Feelings
No Hard Feelings is a 2023 American coming-of-age sex comedy film starring Jennifer Lawrence as a woman hired to date a socially awkward teenager before he leaves for college.
- 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: Good Grief Triple: [Lucius, release, Good Grief]
Generated description
Good Grief is the debut studio album by American indie pop band Lucius, noted for its lush harmonies and polished, hook-driven sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Good Grief Target entity description: Good Grief is the debut studio album by American indie pop band Lucius, noted for its lush harmonies and polished, hook-driven sound.
-
A.
Cry to Laugh
"Cry to Laugh" is a song featured on the album *Heigh Ho* by American singer-songwriter Blake Mills.
-
B.
Bliss
"Bliss" is a track from Mariah Carey's 1999 album "Rainbow," known for its sensual lyrics and layered vocal arrangements.
-
C.
Bliss
"Bliss" is a song featured on Taylor Swift’s album *Lover*, known for its upbeat pop sound and emotionally charged lyrics.
-
D.
The Gift
The Gift is a 2000 supernatural thriller film directed by Sam Raimi, centered on a Southern clairvoyant whose psychic visions entangle her in a murder investigation.
-
E.
No Hard Feelings
No Hard Feelings is a 2023 American coming-of-age sex comedy film starring Jennifer Lawrence as a woman hired to date a socially awkward teenager before he leaves for college.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0003d308190a024f8c03c5f5dad |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5e5142c8190bc90da38b02e95e2 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb69d10188190b78bece656249ecd |
completed | March 8, 2026, 5:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb8c122e881908f0640edc5aaf305 |
completed | March 8, 2026, 5:58 p.m. |
Created at: March 4, 2026, 7:32 p.m.