Triple
T20119065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Dylan |
E490548
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Maria Dylan |
—
|
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: Maria Dylan | Statement: [Samuel Dylan, hasRelative, Maria Dylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Dylan Context triple: [Samuel Dylan, hasRelative, Maria Dylan]
-
A.
Maria Dylan
chosen
Maria Dylan is one of Bob Dylan and Sara Dylan’s daughters, known primarily as a member of the Dylan family.
-
B.
Anna Dylan
Anna Dylan is one of the children of Bob Dylan and his then-wife Sara Dylan.
-
C.
Daisy Donovan
Daisy Donovan is a British actress, writer, and television presenter known for her comedic roles and work on shows like "The 11 O'Clock Show."
-
D.
Paige Dylan
Paige Dylan is an American screenwriter and actress best known for her work in film and television and for being married to musician Jakob Dylan.
-
E.
Madelyn Deutch
Madelyn Deutch is an American actress, writer, and musician known for her work in film and television, including writing and starring in the movie "The Year of Spectacular Men."
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.