Triple
T9426469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover |
E227274
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
False God
"False God" is a sultry, jazz-inflected pop song by Taylor Swift from her 2019 album *Lover*, known for its intimate lyrics and saxophone-driven production.
|
E798243
|
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: False God | Statement: [Lover, track, False God]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: False God Context triple: [Lover, track, False God]
-
A.
Big God
"Big God" is a haunting, piano-driven song by English indie rock band Florence and the Machine, known for its themes of emotional absence and spiritual longing.
-
B.
You’re No God
"You’re No God" is a song by English singer-songwriter Lucy Rose from her debut album "Alas, I Cannot Swim."
-
C.
I Am a God
"I Am a God" is an aggressive, industrial-rap track by Kanye West from his album *Yeezus*, known for its provocative lyrics and experimental production.
-
D.
Godless
Godless is a critically acclaimed American Western drama miniseries centered on a New Mexico town run almost entirely by women after a mining disaster.
-
E.
Almighty Gosh
Almighty Gosh is a track by electronic music producer Good Grief, known for its energetic, synth-driven sound.
- 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: False God Triple: [Lover, track, False God]
Generated description
"False God" is a sultry, jazz-inflected pop song by Taylor Swift from her 2019 album *Lover*, known for its intimate lyrics and saxophone-driven production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: False God Target entity description: "False God" is a sultry, jazz-inflected pop song by Taylor Swift from her 2019 album *Lover*, known for its intimate lyrics and saxophone-driven production.
-
A.
Big God
"Big God" is a haunting, piano-driven song by English indie rock band Florence and the Machine, known for its themes of emotional absence and spiritual longing.
-
B.
You’re No God
"You’re No God" is a song by English singer-songwriter Lucy Rose from her debut album "Alas, I Cannot Swim."
-
C.
I Am a God
"I Am a God" is an aggressive, industrial-rap track by Kanye West from his album *Yeezus*, known for its provocative lyrics and experimental production.
-
D.
Godless
Godless is a critically acclaimed American Western drama miniseries centered on a New Mexico town run almost entirely by women after a mining disaster.
-
E.
Almighty Gosh
Almighty Gosh is a track by electronic music producer Good Grief, known for its energetic, synth-driven sound.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107da6aa88190a015ee4a6eea2a4a |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d1087d01b08190aa4d17241244c26c |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d109042fec819087371150d2c2cf87 |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:49 p.m.