Triple
T29219782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Systematic Chaos |
E740776
|
entity |
| Predicate | includesSongFromSeries |
P22382
|
FINISHED |
| Object |
Repentance
"Repentance" is a progressive metal song by Dream Theater, featured on their album "Systematic Chaos" and known for its introspective themes of guilt, addiction, and personal transformation.
|
E1856185
|
NE FINISHED |
How this triple was built (3 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: Repentance | Statement: [Systematic Chaos, includesSongFromSeries, Repentance]
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: Repentance Triple: [Systematic Chaos, includesSongFromSeries, Repentance]
Generated description
"Repentance" is a progressive metal song by Dream Theater, featured on their album "Systematic Chaos" and known for its introspective themes of guilt, addiction, and personal transformation.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSongFromSeries Context triple: [Systematic Chaos, includesSongFromSeries, Repentance]
-
A.
includesSongsFrom
Indicates that one collection, playlist, or set contains one or more songs that originate from another specified source or group.
-
B.
seriesIncludes
chosen
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
C.
isSoundtrackOf
Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
-
D.
isSongIn
Indicates that a particular song is contained within or belongs to a specified collection, such as an album, playlist, or soundtrack.
-
E.
includesOriginalSongsBy
Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
- F. None of above.
Provenance (6 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2569d1e9408190890537030097f2b5 |
completed | June 7, 2026, 12:53 p.m. |
| NEDg | Description generation | batch_6a256dc27c708190b74c697d4eb1f0a2 |
completed | June 7, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a257303ae008190aad081788fc11925 |
completed | June 7, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: April 28, 2026, 12:15 p.m.