Triple
T16498720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am the Resurrection |
E400748
|
entity |
| Predicate | hasOutroDescription |
P11875
|
FINISHED |
| Object | extended psychedelic outro |
—
|
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: extended psychedelic outro | Statement: [I Am the Resurrection, hasOutroDescription, extended psychedelic outro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutroDescription Context triple: [I Am the Resurrection, hasOutroDescription, extended psychedelic outro]
-
A.
hasDescription
chosen
Indicates that an entity is associated with a textual description that explains or characterizes it.
-
B.
alternateDescription
Indicates that an entity has an additional or substitute textual description that can be used in place of its primary description.
-
C.
hasMarketingDescription
Indicates that an entity is associated with a textual marketing-oriented description used to promote or present it.
-
D.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
E.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
- F. None of above.
Provenance (3 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e3505f48190a6891a5f29377212 |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.