Triple
T5805334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordeliers Convent, Poitiers |
E128730
|
entity |
| Predicate | hasNotablePersonBuriedRole |
P3803
|
FINISHED |
| Object | mistress of King Louis XIV |
—
|
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: mistress of King Louis XIV | Statement: [Cordeliers Convent, Poitiers, hasNotablePersonBuriedRole, mistress of King Louis XIV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePersonBuriedRole Context triple: [Cordeliers Convent, Poitiers, hasNotablePersonBuriedRole, mistress of King Louis XIV]
-
A.
hasNotableBurials
chosen
Indicates that a place, typically a cemetery or burial site, contains the graves or remains of individuals considered notable or significant.
-
B.
notablePersonDiedHere
Indicates that a notable or famous person died at the referenced location.
-
C.
hasNotablePersonRaisedHere
Indicates that a notable person spent their formative or upbringing years in the referenced place.
-
D.
hasNotablePersonBornHere
Indicates that a notable or distinguished person was born at the referenced place.
-
E.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
- F. None of above.
Provenance (3 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1461a48190be2042dd3823d02e |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.