Triple
T15202752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal election of 1352 |
E363307
|
entity |
| Predicate | electedPersonBirthName |
P117105
|
FINISHED |
| Object | Étienne Aubert |
—
|
NE NERFINISHED |
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: Étienne Aubert | Statement: [Papal election of 1352, electedPersonBirthName, Étienne Aubert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedPersonBirthName Context triple: [Papal election of 1352, electedPersonBirthName, Étienne Aubert]
-
A.
honoursPersonBirthName
Indicates that an entity formally recognizes or commemorates a person using the name they were given at birth.
-
B.
notableMemberBirthName
Indicates the birth name of a notable member associated with an entity.
-
C.
coronatedPersonBirthName
Indicates the birth name originally given to a person who was later coronated under a different or formal regnal name.
-
D.
creatorBirthName
Indicates the full birth name originally given to the creator of a work or entity.
-
E.
authorBirthName
Indicates the full personal name an author was given at birth, before any later name changes or pseudonyms.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:10 a.m.