Triple
T5054781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Lowndes |
E113873
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Samuel Dylan |
E490548
|
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: Samuel Dylan | Statement: [Sara Lowndes, relative, Samuel Dylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Dylan Context triple: [Sara Lowndes, relative, Samuel Dylan]
-
A.
Samuel Dylan
chosen
Samuel Dylan is one of Bob Dylan and Sara Lowndes's children, known primarily for his connection to the iconic musician's family.
-
B.
Sir Dylan
Sir Dylan is a music producer best known for his work on Miguel’s album "War & Leisure."
-
C.
Dylan
Dylan is a masculine given name of Welsh origin, widely used in English-speaking countries.
-
D.
Dylan
Dylan is one of the children of Tanzanian Bongo Flava star and music entrepreneur Diamond Platnumz.
-
E.
John Hooker
John Hooker was a 19th-century American lawyer and abolitionist closely associated with the prominent Beecher family through his marriage to women's rights advocate Isabella Beecher Hooker.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd744ccb888190a8a0ddd7c4d62f35 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0fd25c081909ddf2d8eb77f33e7 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.