Triple
T8656250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redmond, Washington |
E205424
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Luke McRedmond |
E205424
|
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: Luke McRedmond | Statement: [Redmond, Washington, namedAfter, Luke McRedmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke McRedmond Context triple: [Redmond, Washington, namedAfter, Luke McRedmond]
-
A.
Luke McRedmond
chosen
Luke McRedmond was an early settler and prominent local figure after whom the city of Redmond, Washington, was named.
-
B.
Shane McDermott
Shane McDermott is an American actor best known for his leading role as a laid-back inline skater in the 1993 teen sports comedy film "Airborne."
-
C.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
-
D.
Ian Mackley
Ian Mackley is the husband of British comedian and television personality Julian Clary.
-
E.
Will McCormack
Will McCormack is an American actor, writer, and director best known for co-writing the animated film "Toy Story 4" and co-directing the Oscar-winning short "If Anything Happens I Love You."
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484569788190aa41395854684e6f |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecce40c248190b4f2b21a1ecde80b |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.