Triple
T22651924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Klein |
E559114
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lew Klein |
—
|
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: Lew Klein | Statement: [Lew Klein, name, Lew Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lew Klein Context triple: [Lew Klein, name, Lew Klein]
-
A.
Lew Klein
chosen
Lew Klein was an influential American television executive, producer, and educator who helped shape local TV news and mentored generations of broadcast journalists.
-
B.
Maurice Podoloff
Maurice Podoloff was an American sports executive best known as the first commissioner of the NBA, where he oversaw the league’s formation and early development.
-
C.
Ossie Schectman
Ossie Schectman was an American professional basketball player best known for scoring the first basket in NBA history.
-
D.
Sam Rosen
Sam Rosen was a prolific American comic book letterer best known for his extensive work at Marvel Comics during the Silver Age.
-
E.
Sam Rosen
Sam Rosen is a veteran American sportscaster best known as the longtime television play-by-play announcer for the NHL’s New York Rangers.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703d7d648190aafe275cd04c47cf |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:06 p.m.