Triple
T31360056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persiles |
E799837
|
entity |
| Predicate | relationshipToSigismunda |
P207412
|
FINISHED |
| Object | 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: lover | Statement: [Persiles, relationshipToSigismunda, lover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSigismunda Context triple: [Persiles, relationshipToSigismunda, lover]
-
A.
relationshipToJohnOfAustria
Indicates the specific familial or social relationship that an entity has to John of Austria.
-
B.
relationshipToCharlesV
Indicates the specific familial or social relationship that one entity has to Charles V.
-
C.
illegitimateChildOfCharlesV
Indicates that the subject is an illegitimate (born out of wedlock) child of Charles V.
-
D.
commandedByHabsburg
Indicates that the subject is under the military or political command or authority of a member or representative of the Habsburg dynasty.
-
E.
typeOfMarriageWithFerdinandI
Indicates the specific kind of marital relationship an entity has with Ferdinand I (e.g., legal status or form of marriage).
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:18 p.m.