Triple
T19558364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Laird |
E489376
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rick Laird |
—
|
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: Rick Laird | Statement: [Rick Laird, name, Rick Laird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Laird Context triple: [Rick Laird, name, Rick Laird]
-
A.
Rick Laird
chosen
Rick Laird was an Irish jazz and fusion bassist best known for his work with the pioneering jazz-rock group the Mahavishnu Orchestra.
-
B.
Nick Laird
Nick Laird is a Northern Irish poet, novelist, and lawyer known for his acclaimed poetry collections and fiction, as well as his marriage to writer Zadie Smith.
-
C.
John Vernon
John Vernon was a Canadian character actor best known for his authoritative, often villainous roles in films such as "Animal House," "Dirty Harry," and numerous television series.
-
D.
Doug Laird
Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
-
E.
Thomas Rodd
Thomas Rodd was an architect known for his work on significant transportation-related structures in the United States, including Indianapolis Union Station.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f723d5081909553a4363b579a6b |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.