Triple
T17152203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fat Lever |
E416248
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Fat Lever |
E416248
|
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: Fat Lever | Statement: [Fat Lever, nickname, Fat Lever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fat Lever Context triple: [Fat Lever, nickname, Fat Lever]
-
A.
Fat Lever
chosen
Fat Lever is a former NBA All-Star point guard known for his all-around play and prolific triple-doubles during the 1980s.
-
B.
Fatlip
Fatlip is an American rapper best known as a former member of the influential alternative hip hop group The Pharcyde.
-
C.
Fat Les
Fat Les was a British supergroup and novelty band formed by artist Damien Hirst, Blur bassist Alex James, and actor Keith Allen, best known for their football-themed anthem "Vindaloo."
-
D.
Fatman
Fatman is a darkly comedic action film in which Mel Gibson portrays a gritty, world-weary Santa Claus targeted by an assassin.
-
E.
Fat Mac
Fat Mac is the popular nickname for Apple's Macintosh 512K, an early 1980s personal computer notable for its increased memory over the original Macintosh.
- 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.