Triple
T15287358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frans |
E365435
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object | Franciscus |
E639456
|
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: Franciscus | Statement: [Frans, shortFormOf, Franciscus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franciscus Context triple: [Frans, shortFormOf, Franciscus]
-
A.
Franciscus
chosen
Franciscus is the Latinized given name of the renowned Dutch primatologist and ethologist Frans de Waal.
-
B.
Norbertus
Norbertus is a Latinized form of the given name Norbert, historically used in ecclesiastical and scholarly contexts.
-
C.
Desiderius
Desiderius was the final king of the Lombards, whose defeat by Charlemagne in the 8th century marked the end of the Lombard Kingdom in Italy.
-
D.
Francis
Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
-
E.
Francis
Francis is the given first name of Fran Tarkenton, the Hall of Fame American football quarterback and later television personality and businessman.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e2a03c81909ab24d4ed2b54698 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:15 a.m.