Triple
T31301683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Did Something Bad |
E798228
|
entity |
| Predicate | hasChantLikeSections |
P194256
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 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: true | Statement: [I Did Something Bad, hasChantLikeSections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChantLikeSections Context triple: [I Did Something Bad, hasChantLikeSections, true]
-
A.
hasChantLikeChorus
Indicates that one element features or is characterized by a chorus section that is chant-like in style or delivery.
-
B.
hasChant
Indicates that an entity is associated with or characterized by a particular chant.
-
C.
hasChantingStyle
Indicates that an entity is associated with or characterized by a particular style or manner of chanting.
-
D.
hasChoralText
Indicates that a musical work includes text intended to be sung by a choir.
-
E.
hasChorusIn
Indicates that a musical work includes a chorus section within the specified part or segment.
- F. None of above. chosen
Provenance (4 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
| PDg | Predicate description generation | batch_69fd68ab21a0819096bfc4a8c14851ad |
completed | May 8, 2026, 4:38 a.m. |
Created at: April 29, 2026, 9:14 p.m.