Triple
T19800445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Carlé |
E475657
|
entity |
| Predicate | romanticRelationshipWith |
P9994
|
FINISHED |
| Object | Eva Luna |
—
|
NE NERFINISHED |
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: Eva Luna | Statement: [Rolf Carlé, romanticRelationshipWith, Eva Luna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva Luna Context triple: [Rolf Carlé, romanticRelationshipWith, Eva Luna]
-
A.
Eva Luna
chosen
Eva Luna is a novel by Chilean author Isabel Allende that follows the imaginative life story of a young Latin American woman against a backdrop of political and social upheaval.
-
B.
Julita
Julita is a feminine given name, commonly used as a diminutive or variant of Julia in various languages and cultures.
-
C.
Julita
Julita is a small municipality located on the island of Leyte in the Eastern Visayas region of the Philippines.
-
D.
La Madre
La Madre is a Colombian television drama series featuring María Cecilia Botero in a prominent role.
-
E.
Marianela
Marianela is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cb865c81909696d2b37476f62f |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.