Triple
T10486899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarice Lispector |
E247321
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clarice |
E360810
|
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: Clarice | Statement: [Clarice Lispector, givenName, Clarice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarice Context triple: [Clarice Lispector, givenName, Clarice]
-
A.
Clarice
chosen
Clarice is a feminine given name of Latin origin, historically associated with Italian nobility and later popularized in various cultures and works of fiction.
-
B.
Clarice Beckett
Clarice Beckett was an Australian modernist painter known for her atmospheric, tonalist landscapes and subtle depictions of everyday suburban life in the early 20th century.
-
C.
Voletta
Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
-
D.
Marguerite
Marguerite is a 2015 French comedy-drama film directed by Xavier Giannoli, loosely inspired by the life of amateur opera singer Florence Foster Jenkins.
-
E.
Marguerite
Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096a4d3481908e9c319f6cdce4f1 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc8c73748190b97c78af6cf142d9 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:23 p.m.