Triple
T20960280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Lamb |
E516222
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Larry Lamb |
—
|
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: Larry Lamb | Statement: [Larry Lamb, name, Larry Lamb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Lamb Context triple: [Larry Lamb, name, Larry Lamb]
-
A.
Larry Lamb
chosen
Larry Lamb is an English actor and radio presenter best known for his roles in television series such as Gavin & Stacey and EastEnders.
-
B.
Lance Kerwin
Lance Kerwin was an American actor best known for his prominent roles in 1970s television dramas and horror projects, particularly as a teen protagonist.
-
C.
Doug McClure
Doug McClure was an American actor best known for his roles in Western films and television series, particularly as Trampas on the long-running TV show "The Virginian."
-
D.
Alan Cline
Alan Cline is a computer scientist and academic known for his long-standing faculty role in the Department of Computer Science at the University of Texas at Austin.
-
E.
John Gibbon
John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6f134081908b1ed48ce708f3d5 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:30 p.m.