Triple
T14633013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Benedict XII |
E343528
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fournier |
E996401
|
NE 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: Fournier | Statement: [Pope Benedict XII, familyName, Fournier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fournier Context triple: [Pope Benedict XII, familyName, Fournier]
-
A.
Fournier
chosen
Fournier is a French surname borne by numerous notable figures across fields such as music, sports, politics, and the arts.
-
B.
Facio
Facio is a surname of Spanish and Italian origin borne by various notable individuals, including figures in politics, the arts, and academia.
-
C.
Codman
Codman is a surname most notably associated with Ogden Codman Jr., an influential American architect and interior decorator of the late 19th and early 20th centuries.
-
D.
Trioditis
Trioditis is an epithet of the Greek goddess Hecate that emphasizes her association with crossroads and liminal spaces.
-
E.
Rosay
Rosay is a French surname most notably borne by acclaimed actress Françoise Rosay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda931834081909d90ec0479eca3f9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.