Triple
T18592610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Farrow |
E454406
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Stephanie Farrow |
E548253
|
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: Stephanie Farrow | Statement: [John Farrow, child, Stephanie Farrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Farrow Context triple: [John Farrow, child, Stephanie Farrow]
-
A.
Stephanie Farrow
chosen
Stephanie Farrow is an American actress and model best known as the younger sister of actress Mia Farrow.
-
B.
Tisa Farrow
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.
Kathleen Harrison
Kathleen Harrison is an American ethnobotanist and researcher known for her work on the cultural and spiritual uses of plants, as well as for her long association with psychedelic philosopher Terence McKenna.
-
E.
Kathleen Harrison
Kathleen Harrison was a British character actress best known for her warm, working-class roles in mid-20th-century films and television, including the classic film "Scrooge" (1951).
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b6792481908eae92718aa4c889 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d6cb808819091cc54c9f7fb15ba |
completed | May 13, 2026, 11:46 p.m. |
Created at: April 10, 2026, 11:44 a.m.