Triple
T30282582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Voyage of the Space Beagle |
E770140
|
entity |
| Predicate | allusionContext |
P102154
|
FINISHED |
| Object | Charles Darwin’s voyage on the Beagle |
—
|
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: Charles Darwin’s voyage on the Beagle | Statement: [The Voyage of the Space Beagle, allusionContext, Charles Darwin’s voyage on the Beagle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allusionContext Context triple: [The Voyage of the Space Beagle, allusionContext, Charles Darwin’s voyage on the Beagle]
-
A.
containsAllusion
chosen
Indicates that one entity includes or incorporates an indirect reference or allusion to another entity.
-
B.
mottoAllusion
Indicates that a motto references, echoes, or alludes to another work, idea, phrase, or source.
-
C.
nameAllusion
Indicates that one entity’s name is derived from, references, or alludes to another entity.
-
D.
acronymContext
Indicates that one term is used as an acronym specifically within the contextual scope defined by another entity (such as a document, domain, or usage setting).
-
E.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
- 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68106a8ac8190ab775d61ae360c56 |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:45 p.m.