Triple
T16856383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perdita |
E409793
|
entity |
| Predicate | relationshipToCamillo |
P125255
|
FINISHED |
| Object | beneficiary of his loyalty to Leontes and Polixenes |
—
|
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: beneficiary of his loyalty to Leontes and Polixenes | Statement: [Perdita, relationshipToCamillo, beneficiary of his loyalty to Leontes and Polixenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCamillo Context triple: [Perdita, relationshipToCamillo, beneficiary of his loyalty to Leontes and Polixenes]
-
A.
relationshipToCarmen
Indicates the specific type of personal or social relationship an entity has with Carmen.
-
B.
relationshipToCamille Raquin
Indicates the specific interpersonal or familial relationship that one entity has to Camille Raquin.
-
C.
relationshipToCatherine
Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
-
D.
relationshipToCalaf
Indicates the specific type of personal or social relationship an entity has with Calaf.
-
E.
relationshipToGilbertOsmond
Indicates the specific type of personal or social relationship that an entity has with Gilbert Osmond.
- 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.