Triple
T617113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cailee Spaeny |
E14429
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Priscilla |
E26735
|
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: Priscilla | Statement: [Cailee Spaeny, notableWork, Priscilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Priscilla Context triple: [Cailee Spaeny, notableWork, Priscilla]
-
A.
Priscilla
chosen
Priscilla is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Priscilla Anne Wilkinson
Priscilla Anne Wilkinson was the wife of influential classical economist David Ricardo, known primarily through her marriage into his prominent 19th-century English family.
-
C.
Rebeca
Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
-
D.
Christina
Christina is a feminine given name widely used in many cultures, often associated with notable figures in entertainment, arts, and public life.
-
E.
Paula
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e22f3688190a512bec3f0347814 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d69ade481909322f5f28f0050e4 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:35 p.m.