Triple
T18542022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petra Cotes |
E453122
|
entity |
| Predicate | relationshipTypeWith Aureliano Segundo |
P132094
|
FINISHED |
| Object | passionate love affair |
—
|
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: passionate love affair | Statement: [Petra Cotes, relationshipTypeWith Aureliano Segundo, passionate love affair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Aureliano Segundo Context triple: [Petra Cotes, relationshipTypeWith Aureliano Segundo, passionate love affair]
-
A.
relationshipToJoséArcadioBuendía
Indicates the specific familial or social relationship that an entity has to José Arcadio Buendía.
-
B.
relationToDominicanFamily
Indicates a familial or kinship relationship that a person has with a Dominican family.
-
C.
relationshipToAntonioVillalta
Indicates the nature of the relationship or connection that an entity has to Antonio Villalta.
-
D.
relationshipToCharlesV
Indicates the specific familial or social relationship that one entity has to Charles V.
-
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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b80fc081908488417787d1b166 |
completed | April 19, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:38 a.m.