Triple
T20391041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost in the Machine |
E498083
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Richard McKenzie |
—
|
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: Richard McKenzie | Statement: [Ghost in the Machine, hasCastMember, Richard McKenzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard McKenzie Context triple: [Ghost in the Machine, hasCastMember, Richard McKenzie]
-
A.
Richard McKenzie
chosen
Richard McKenzie is an American character actor known for his numerous supporting roles in film and television, including a part in the 1978 comedy-adventure film "Corvette Summer."
-
B.
Neil McKenzie
Neil McKenzie is a former South African international cricketer known for his long and successful career as a top-order batsman.
-
C.
Richard McKenna
Richard McKenna was an American author and former U.S. Navy sailor best known for his novel "The Sand Pebbles," which drew on his naval experiences in China.
-
D.
Mark McKenzie
Mark McKenzie is an American film composer known for his emotive orchestral scores for family and animated movies.
-
E.
Donald McKenzie
Donald McKenzie was a Scottish-Canadian fur trader and explorer who became a prominent partner and leader in early 19th-century North American fur trade enterprises.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.