Triple
T22315965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tisa Farrow |
E551642
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Prudence Farrow |
—
|
NE NERFINISHED |
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: Prudence Farrow | Statement: [Tisa Farrow, sibling, Prudence Farrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prudence Farrow Context triple: [Tisa Farrow, sibling, Prudence Farrow]
-
A.
Prudence Farrow
chosen
Prudence Farrow is an American meditation teacher and author best known as the inspiration for the Beatles song "Dear Prudence."
-
B.
Mia Farrow
Mia Farrow is an American actress and humanitarian known for her roles in films like "Rosemary's Baby" and for her extensive advocacy work with UNICEF.
-
C.
Stephanie Farrow
Stephanie Farrow is an American actress and model best known as the younger sister of actress Mia Farrow.
-
D.
Tisa Farrow
Tisa Farrow is an American actress known for her roles in 1970s and 1980s films, including several cult horror and exploitation movies.
-
E.
María de Lourdes Villiers Farrow
María de Lourdes Villiers Farrow, better known as Mia Farrow, is an American actress and humanitarian renowned for her roles in films like "Rosemary's Baby" and her extensive advocacy work, particularly with UNICEF.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1575287688190aa642bb49b24f5a1 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.