Triple
T16035547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehanu |
E388960
|
entity |
| Predicate | exploresPerspective |
P54869
|
FINISHED |
| Object | women in Earthsea |
—
|
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: women in Earthsea | Statement: [Tehanu, exploresPerspective, women in Earthsea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresPerspective Context triple: [Tehanu, exploresPerspective, women in Earthsea]
-
A.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
useOfPerspective
chosen
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
-
C.
settingOfPerspective
Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
-
D.
introducesPerspective
Indicates that one entity presents or brings in a particular viewpoint, angle, or way of understanding regarding another entity or situation.
-
E.
knownForPerspective
Indicates that an entity is recognized or notable for a particular viewpoint, angle, or way of seeing or interpreting something.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.