Triple
T27772459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phenomenon (remix) |
E701784
|
entity |
| Predicate | productionComparedToOriginal |
P181048
|
FINISHED |
| Object | altered |
—
|
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: altered | Statement: [Phenomenon (remix), productionComparedToOriginal, altered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionComparedToOriginal Context triple: [Phenomenon (remix), productionComparedToOriginal, altered]
-
A.
originallyProducedAs
Indicates that one entity was first created, released, or manufactured in the form of another specified entity or format.
-
B.
comparedToPredecessor
Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
-
C.
originalProducts
Indicates that one entity consists of or is derived from the initial or source products associated with another entity.
-
D.
violenceLevelComparedToOriginal
Indicates the degree to which the level of violence in one version differs from that in the original version.
-
E.
technologyLevelComparedToPredecessor
Indicates how the technology level of an entity compares to that of its immediate predecessor.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: April 27, 2026, 4:36 p.m.