Triple
T5154283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Dylan |
E116270
|
entity |
| Predicate | siblingOf |
P363
|
FINISHED |
| Object | Desiree Gabrielle Dennis-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: Desiree Gabrielle Dennis-Dylan | Statement: [Anna Dylan, siblingOf, Desiree Gabrielle Dennis-Dylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desiree Gabrielle Dennis-Dylan Context triple: [Anna Dylan, siblingOf, Desiree Gabrielle Dennis-Dylan]
-
A.
Dionne Davenport
Dionne Davenport is a stylish, sharp-tongued high school student and Cher Horowitz’s best friend in the 1995 teen comedy film "Clueless."
-
B.
Artelia Roney Duke
Artelia Roney Duke was the wife of American tobacco and electric power magnate James Buchanan Duke and the mother of philanthropist Doris Duke.
-
C.
Anna Dylan
chosen
Anna Dylan is one of the children of Bob Dylan and his then-wife Sara Dylan.
-
D.
Mika Guillory
Mika Guillory is a music producer known for work on the pop/R&B album "Songs About Girls."
-
E.
Tabitha Jordan Lamar
Tabitha Jordan Lamar was the wife of Mirabeau B. Lamar, the second president of the Republic of Texas.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78dc329c8190808085c6b3e4241c |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed00e333881908487be6958e5133c |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.