Triple
T21970877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Farrow |
E542583
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | John 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: John Farrow | Statement: [Mia Farrow, parent, John Farrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Farrow Context triple: [Mia Farrow, parent, John Farrow]
-
A.
John Farrow
chosen
John Farrow was an Academy Award–winning Australian-born film director, screenwriter, and producer active in Hollywood during the mid-20th century.
-
B.
Peter Neal
Peter Neal is an American lawyer known for being married to Naomi Biden, the granddaughter of U.S. President Joe Biden.
-
C.
Peter Neal
Peter Neal is a film director best known for directing the concert film adaptation of the progressive rock band Yes's live album "Yessongs."
-
D.
Farley Granger
Farley Granger was an American actor best known for his roles in classic mid-20th-century films such as Alfred Hitchcock’s "Rope" and "Strangers on a Train."
-
E.
Joel Harlow
Joel Harlow is an Academy Award-winning American makeup artist and special effects designer known for his work on films such as "Star Trek" and "Pirates of the Caribbean."
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12484b83081908c08e3285e0b14a9 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:02 p.m.