Triple
T10776762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soon-Yi Previn |
E254215
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Tam Farrow |
E551642
|
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: Tam Farrow | Statement: [Soon-Yi Previn, sibling, Tam Farrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tam Farrow Context triple: [Soon-Yi Previn, sibling, Tam Farrow]
-
A.
Michael Macdonald Farrow
Michael Macdonald Farrow is the son of American silent film actress Lila Lee.
-
B.
Tisa Farrow
chosen
Tisa Farrow is an American actress known for her roles in 1970s and 1980s films, including several cult horror and exploitation movies.
-
C.
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.
-
D.
Stephanie Farrow
Stephanie Farrow is an American actress and model best known as the younger sister of actress Mia Farrow.
-
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 (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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2162f1f648190b325c7e7647b543e |
completed | April 17, 2026, 11:14 a.m. |
Created at: April 8, 2026, 9:16 p.m.