Triple
T7383732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavinia Chamberlayne |
E170326
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Lavinia |
E493816
|
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: Lavinia | Statement: [Lavinia Chamberlayne, hasGivenName, Lavinia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavinia Context triple: [Lavinia Chamberlayne, hasGivenName, Lavinia]
-
A.
Lavinia
chosen
Lavinia is a tragic heroine in William Shakespeare’s play "Titus Andronicus," known for her brutal mutilation and symbolic embodiment of suffering and revenge.
-
B.
Lavinia
Lavinia is a novel by Ursula K. Le Guin that reimagines the life of the minor Aeneid character Lavinia, giving her a rich inner world and narrative voice.
-
C.
Felicitas
Felicitas is a feminine given name of Latin origin, associated with good fortune and happiness and historically linked to the Roman goddess of luck and success.
-
D.
Cloelia
Cloelia was a Roman woman known primarily as one of the wives of the powerful late Republican dictator Lucius Cornelius Sulla.
-
E.
Clorinda
Clorinda is a border city in northeastern Argentina’s Formosa Province, located opposite Asunción, Paraguay, and serving as an important regional commercial and transport hub.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1cb0b8881908132383c0efb0503 |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802dee7448190be1835bd822b9180 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.