Triple
T6102002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Animal |
E136018
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
A Thousand Days Before
"A Thousand Days Before" is a song by the American rock band Soundgarden from their 2012 reunion album *King Animal*.
|
E568620
|
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: A Thousand Days Before | Statement: [King Animal, hasTrack, A Thousand Days Before]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Thousand Days Before Context triple: [King Animal, hasTrack, A Thousand Days Before]
-
A.
Three Days
"Three Days" is a song by the American rock band Teatro.
-
B.
Seventeen Days
Seventeen Days is the third studio album by American rock band 3 Doors Down, known for its post-grunge sound and radio-friendly rock tracks.
-
C.
A Thousand Mornings
A Thousand Mornings is a poetry collection by Mary Oliver that reflects on nature, everyday life, and spiritual contemplation in her characteristically clear and meditative style.
-
D.
Days of 49
"Days of 49" is a traditional American folk song about the California Gold Rush era, famously popularized by folk singer Bob Dylan on his album *Self Portrait*.
-
E.
Seven Days
Seven Days is a musical project or band known for its association with guitarist Guitar Bains.
- 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: A Thousand Days Before Triple: [King Animal, hasTrack, A Thousand Days Before]
Generated description
"A Thousand Days Before" is a song by the American rock band Soundgarden from their 2012 reunion album *King Animal*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A Thousand Days Before Target entity description: "A Thousand Days Before" is a song by the American rock band Soundgarden from their 2012 reunion album *King Animal*.
-
A.
Three Days
"Three Days" is a song by the American rock band Teatro.
-
B.
Seventeen Days
Seventeen Days is the third studio album by American rock band 3 Doors Down, known for its post-grunge sound and radio-friendly rock tracks.
-
C.
A Thousand Mornings
A Thousand Mornings is a poetry collection by Mary Oliver that reflects on nature, everyday life, and spiritual contemplation in her characteristically clear and meditative style.
-
D.
Days of 49
"Days of 49" is a traditional American folk song about the California Gold Rush era, famously popularized by folk singer Bob Dylan on his album *Self Portrait*.
-
E.
Seven Days
Seven Days is a musical project or band known for its association with guitarist Guitar Bains.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3c073c81908248c799934d6fce |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254fbbf881908b7a3d07f0400387 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125c1a230819095dd0a56309880eb |
completed | March 23, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126c8b6648190af71b450c00fd987 |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:13 p.m.