Triple
T22515661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara Richards |
E556639
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Marlon Richards |
—
|
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: Marlon Richards | Statement: [Tara Richards, sibling, Marlon Richards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlon Richards Context triple: [Tara Richards, sibling, Marlon Richards]
-
A.
Marlon Richards
chosen
Marlon Richards is a British artist and photographer best known as the son of Rolling Stones guitarist Keith Richards and model Anita Pallenberg.
-
B.
Marlon Pryce
Marlon Pryce is a young, reformed petty criminal who becomes a trainee police officer in the British-French crime drama series "Death in Paradise."
-
C.
Marlon Taylor
Marlon Taylor is an American former child actor best known for playing young Mike Hanlon in the 1990 television miniseries adaptation of Stephen King’s "It."
-
D.
Marlon Anderson
Marlon Anderson is an actor known for appearing in the comedy film "Caddyshack II."
-
E.
Michele Lamar Richards
Michele Lamar Richards is an American actress best known for her supporting role in the 1992 romantic thriller film "The Bodyguard."
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.