Triple
T10359595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rich McKay |
E244098
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rich McKay |
E244098
|
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: Rich McKay | Statement: [Rich McKay, name, Rich McKay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rich McKay Context triple: [Rich McKay, name, Rich McKay]
-
A.
Rich McKay
chosen
Rich McKay is an American football executive best known for his long tenure in NFL leadership roles, including as a team executive and influential member of league committees.
-
B.
Ray McKinnon
Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
-
C.
Doug McMillan
Doug McMillan is an American business executive best known as the president and chief executive officer of Walmart Inc.
-
D.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
E.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9987838ac8190a6ba09305fc27621 |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 6, 2026, 11:59 a.m.