Triple
T5054780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Lowndes |
E113873
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Anna Dylan |
E116270
|
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: Anna Dylan | Statement: [Sara Lowndes, relative, Anna Dylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Dylan Context triple: [Sara Lowndes, relative, Anna Dylan]
-
A.
Anna Dylan
chosen
Anna Dylan is one of the children of Bob Dylan and his then-wife Sara Dylan.
-
B.
Jessica Darrow
Jessica Darrow is an American actress and singer best known for voicing Luisa Madrigal and performing the hit song "Surface Pressure" in Disney's animated film Encanto.
-
C.
Maria Dylan
Maria Dylan is one of Bob Dylan and Sara Dylan’s daughters, known primarily as a member of the Dylan family.
-
D.
Rachel Duncan
Rachel Duncan is a ruthless, high-ranking Neolution executive and self-aware clone from the TV series "Orphan Black."
-
E.
Kate Dibiasky
Kate Dibiasky is a fictional astronomy PhD candidate from the film "Don't Look Up" who discovers a planet-killing comet and becomes a central figure in the effort to warn humanity.
- 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_69beba6214988190980d7c7ae4bba902 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:38 p.m.