Triple
T20479096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miranda |
E502401
|
entity |
| Predicate | relationshipWithProspero |
P140251
|
FINISHED |
| Object | obedient but questioning daughter |
—
|
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: obedient but questioning daughter | Statement: [Miranda, relationshipWithProspero, obedient but questioning daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithProspero Context triple: [Miranda, relationshipWithProspero, obedient but questioning daughter]
-
A.
relationshipWithCaliban
Indicates a relationship or connection that an entity has with Caliban, without specifying the type or nature of that relationship.
-
B.
relationshipToCaliban
Indicates the specific type of relationship or connection that one entity has to the entity named Caliban.
-
C.
relationshipToTrinculo
Indicates the specific type of relationship or connection that one entity has to the entity named Trinculo.
-
D.
relationshipToMamillius
Indicates the specific familial or social relationship that an entity has to Mamillius.
-
E.
relationToOdysseus
Indicates the specific familial, social, or narrative relationship that one entity has to Odysseus.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:34 a.m.