Triple
T4306370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Georgeson |
E99963
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Marlon Williams |
E190384
|
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: Marlon Williams | Statement: [Noah Georgeson, workedWith, Marlon Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlon Williams Context triple: [Noah Georgeson, workedWith, Marlon Williams]
-
A.
Marlon Williams
chosen
Marlon Williams is a New Zealand singer-songwriter and guitarist known for his distinctive tenor voice and genre-blending blend of folk, country, and indie rock.
-
B.
Flynn Belaine
Flynn Belaine is an American actress and producer best known for her work in film and television and for her former marriage to comedian Richard Pryor.
-
C.
Jimmy Yuill
Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
-
D.
Andrew Sharp
Andrew Sharp is a British business executive and former CEO of the travel company Eurostar.
-
E.
John Butler
John Butler was a prominent Loyalist military leader during the American Revolutionary War, best known for commanding Butler's Rangers in frontier campaigns against American revolutionaries.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350bb78cc8190a850aca47d8711cf |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c756809c8190af90c91ec7883e55 |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:09 p.m.