Triple
T13640899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.V. |
E325971
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Larry Sanders |
E673650
|
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: Larry Sanders | Statement: [L.V., alsoKnownAs, Larry Sanders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Sanders Context triple: [L.V., alsoKnownAs, Larry Sanders]
-
A.
Larry Sanders
chosen
Larry Sanders is the fictional late-night talk show host and central character of the satirical television series "The Larry Sanders Show," portrayed by comedian Garry Shandling.
-
B.
Larry Sanders
Larry Sanders is a songwriter best known for co-writing the hit rap single "Gangsta’s Paradise."
-
C.
David Sanders
David Sanders is the protagonist of the thriller novel "The Deep," around whom the story’s central mystery and underwater adventure revolve.
-
D.
Hugh Sanders
Hugh Sanders was an American character actor known for his numerous supporting roles in film and television during the mid-20th century.
-
E.
Fred Sanford
Fred Sanford is the cantankerous, sharp-tongued junk dealer and central character played by Redd Foxx on the classic American sitcom "Sanford and Son."
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5aac7308190a3fd26baeade8f2a |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943306f08190b3a4c44e5b22db0a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:51 p.m.