Triple
T5206139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Dreamer |
E117514
|
entity |
| Predicate | relatesToAudience |
P62009
|
FINISHED |
| Object | his visionary experience |
—
|
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: his visionary experience | Statement: [the Dreamer, relatesToAudience, his visionary experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToAudience Context triple: [the Dreamer, relatesToAudience, his visionary experience]
-
A.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
B.
attractsAudience
Indicates that an entity draws the interest or attention of people who choose to watch, listen to, or engage with it.
-
C.
associatedMusicAudience
Indicates a relationship where a piece of music, musical work, or performance is intended for, targeted at, or commonly associated with a particular audience or listener group.
-
D.
audienceScale
Indicates the relative size or reach of the audience associated with an entity, event, or communication.
-
E.
relatesToProgram
Indicates that one entity has a relevant connection, association, or involvement with a particular program.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a490338819080481df79d3aae01 |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79000cf88190b3c05d95395b0cd2 |
completed | March 20, 2026, 4:42 p.m. |
Created at: March 20, 2026, 1:47 p.m.