Triple
T35094508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquise de San-Réal |
E1012829
|
entity |
| Predicate | relationshipTypeWithPaquitaValdès |
P206835
|
FINISHED |
| Object | possessive lover |
—
|
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: possessive lover | Statement: [Marquise de San-Réal, relationshipTypeWithPaquitaValdès, possessive lover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithPaquitaValdès Context triple: [Marquise de San-Réal, relationshipTypeWithPaquitaValdès, possessive lover]
-
A.
relationshipTypeWith Sergio Marquina
Indicates the specific nature or category of relationship that an entity has with Sergio Marquina.
-
B.
relationshipTypeWith Aureliano Segundo
Indicates the specific nature or category of relational connection that an entity has with Aureliano Segundo.
-
C.
relationshipTypeWithBlancaTrueba
Indicates that the subject has a specific type of relationship with Blanca Trueba.
-
D.
relationshipToPilarBardem
Indicates the specific familial, professional, or social relationship that an entity has to Pilar Bardem.
-
E.
relationshipToAntonioVillalta
Indicates the nature of the relationship or connection that an entity has to Antonio Villalta.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.