Triple
T17152201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fat Lever |
E416248
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lever |
E193938
|
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: Lever | Statement: [Fat Lever, familyName, Lever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lever Context triple: [Fat Lever, familyName, Lever]
-
A.
Lever
chosen
Lever is a surname most notably associated with Asbury Francis Lever, an influential early 20th-century American politician and advocate for agricultural reform.
-
B.
Great Lever
Great Lever is a residential district and suburb within the town of Bolton in Greater Manchester, England.
-
C.
Archimedean screw
The Archimedean screw is an ancient mechanical device, traditionally attributed to Archimedes, used to lift water or other granular materials by rotating a helical surface inside a cylinder or open trough.
-
D.
Lever Act
Lever Act is the common name for the 1917 U.S. wartime law that gave the federal government broad powers to control food and fuel production, distribution, and pricing during World War I.
-
E.
Fat Lever
Fat Lever is a former NBA All-Star point guard known for his all-around play and prolific triple-doubles during the 1980s.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415d19288190beb3c94da2ce8c0e |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.