Triple
T20389130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roan Joseph Bronstein |
E498037
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Laird Vonne Stone |
—
|
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: Laird Vonne Stone | Statement: [Roan Joseph Bronstein, hasSibling, Laird Vonne Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laird Vonne Stone Context triple: [Roan Joseph Bronstein, hasSibling, Laird Vonne Stone]
-
A.
Laird Vonne Stone
chosen
Laird Vonne Stone is one of actress Sharon Stone’s sons, known primarily for being part of her family and public life.
-
B.
Tyler Johnston
Tyler Johnston is a Canadian actor best known for playing Stewart on the comedy series "Letterkenny."
-
C.
Kimball Kinnison
Kimball Kinnison is the heroic Galactic Patrol Lensman and central protagonist of E. E. "Doc" Smith’s classic space opera Lensman series.
-
D.
Bridger Nielson
Bridger Nielson is a cinematographer known for his work on the horror film "The Pact."
-
E.
Bryan Zuriff
Bryan Zuriff is a television producer best known for his work as an executive producer on the crime drama series "Ray Donovan."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.