Triple
T5455589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Françoise d’Aubigné |
E122469
|
entity |
| Predicate | marriageToLouisXIVWasSecret |
P64140
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Françoise d’Aubigné, marriageToLouisXIVWasSecret, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToLouisXIVWasSecret Context triple: [Françoise d’Aubigné, marriageToLouisXIVWasSecret, true]
-
A.
marriageToHenryVIIIConsummated
Indicates that the subject’s marriage to Henry VIII was physically consummated.
-
B.
marriageToHenryIIDate
Indicates the date on which an entity entered into marriage with Henry II.
-
C.
reignAsQueenConsortOfFranceStart
Indicates the time at which a person began serving as queen consort of France.
-
D.
numberOfChildrenWithLouisXIV
Indicates the total count of children that an entity has with Louis XIV.
-
E.
marriageToHenryVIIIStatus
Indicates the status or condition of an entity’s marriage relationship to Henry VIII (e.g., current, former, annulled, pending, etc.).
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd927b0b4c81909d5e0f594822e3f9 |
completed | March 20, 2026, 6:31 p.m. |
Created at: March 20, 2026, 2:08 p.m.