Triple
T21831617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie I, Countess of Boulogne |
E539007
|
entity |
| Predicate | mannerOfLifeEnd |
P145467
|
FINISHED |
| Object | religious life in a convent |
—
|
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: religious life in a convent | Statement: [Marie I, Countess of Boulogne, mannerOfLifeEnd, religious life in a convent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mannerOfLifeEnd Context triple: [Marie I, Countess of Boulogne, mannerOfLifeEnd, religious life in a convent]
-
A.
placeOfCessation
Indicates the location where an entity’s existence, activity, or state comes to an end.
-
B.
legalStatusAtEndOfLife
Indicates the legal classification or condition that applies to an entity at the time of its termination, dissolution, or death.
-
C.
lifeStageAtDeath
Indicates the life stage or age category an entity was in at the time of its death.
-
D.
placeOfApotheosis
Indicates the location where a being undergoes or has undergone apotheosis, i.e., is elevated to divine or godlike status.
-
E.
livesAccordingTo
Indicates that an entity conducts its life or behavior in alignment with a specified principle, rule, belief system, or standard.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 6:55 p.m.