Triple
T8728535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelia Van Cortlandt |
E207192
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cornelia |
E162833
|
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: Cornelia | Statement: [Cornelia Van Cortlandt, givenName, Cornelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornelia Context triple: [Cornelia Van Cortlandt, givenName, Cornelia]
-
A.
Cornelia
chosen
Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
-
B.
Erminia
Erminia is a compassionate and conflicted princess in Torquato Tasso’s epic poem "Gerusalemme liberata," known for her unrequited love for the Christian knight Tancredi and her dramatic flight from the battlefield.
-
C.
Lollia
Lollia was the family name (nomen) of the ancient Roman gens Lollia, to which the noblewoman Lollia Paulina belonged.
-
D.
Iulia
Iulia is a Latin given name, historically used in ancient Rome and closely associated with the feminine form of the name Julius.
-
E.
Leonessa
Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1890e0819088b271db51faa738 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2923abc48190a5b6027c2e4f1db7 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.