Triple
T20956179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Tercero García |
E516105
|
entity |
| Predicate | relationshipTypeWithBlancaTrueba |
P141844
|
FINISHED |
| Object | forbidden love |
—
|
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: forbidden love | Statement: [Pedro Tercero García, relationshipTypeWithBlancaTrueba, forbidden love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithBlancaTrueba Context triple: [Pedro Tercero García, relationshipTypeWithBlancaTrueba, forbidden love]
-
A.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
B.
relationshipTypeWith Aureliano Segundo
Indicates the specific nature or category of relational connection that an entity has with Aureliano Segundo.
-
C.
relationToHernanReyes
Indicates a specified type of relationship or connection that an entity has to Hernan Reyes.
-
D.
relationshipTypeWith Sergio Marquina
Indicates the specific nature or category of relationship that an entity has with Sergio Marquina.
-
E.
relationshipTypeWithEvePolastri
Indicates the specific nature or category of relationship that an entity has with Eve Polastri.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6b19048190b266ed24f6fc1a97 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 1:28 p.m.