Triple
T16856382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perdita |
E409793
|
entity |
| Predicate | relationshipToMamillius |
P125254
|
FINISHED |
| Object | younger sister |
—
|
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: younger sister | Statement: [Perdita, relationshipToMamillius, younger sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMamillius Context triple: [Perdita, relationshipToMamillius, younger sister]
-
A.
relationshipWithCaliban
Indicates a relationship or connection that an entity has with Caliban, without specifying the type or nature of that relationship.
-
B.
relationshipToTrinculo
Indicates the specific type of relationship or connection that one entity has to the entity named Trinculo.
-
C.
relationshipToCaliban
Indicates the specific type of relationship or connection that one entity has to the entity named Caliban.
-
D.
relationshipWithStephano
Indicates a relationship or connection that an entity has with Stephano, without specifying the type or nature of that relationship.
-
E.
relationshipToCarmen
Indicates the specific type of personal or social relationship an entity has with Carmen.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37d69a08190af18b421066f44f1 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.