Triple
T20144212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Hudson |
E491258
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lester Hudson |
—
|
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: Lester Hudson | Statement: [Lester Hudson, name, Lester Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester Hudson Context triple: [Lester Hudson, name, Lester Hudson]
-
A.
Lester Hudson
chosen
Lester Hudson is an American professional basketball player best known for his prolific scoring and multiple championships in the Chinese Basketball Association.
-
B.
Carl Ruggles
Carl Ruggles was an American modernist composer known for his highly dissonant, meticulously crafted orchestral and chamber works and his association with contemporaries like Charles Ives.
-
C.
Milton Parsons
Milton Parsons was an American character actor known for his distinctive gaunt appearance and frequent roles in crime, horror, and mystery films of the 1930s and 1940s.
-
D.
Lester Wolfe
Lester Wolfe was a benefactor whose support and legacy are commemorated by an endowed physics professorship at the Massachusetts Institute of Technology.
-
E.
Albert Kihn
Albert Kihn is a cinematographer best known for his work on George Lucas’s dystopian science fiction film "THX 1138."
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679d89688190ae88d81002d16d6e |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.