Triple
T4663298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Omega Code |
E102784
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael York |
E252048
|
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: Michael York | Statement: [The Omega Code, starring, Michael York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael York Context triple: [The Omega Code, starring, Michael York]
-
A.
Michael York
chosen
Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
-
B.
Tom Mison
Tom Mison is an English actor best known for playing Ichabod Crane in the supernatural drama television series "Sleepy Hollow."
-
C.
Sam Waterston
Sam Waterston is an American actor known for his distinguished film, television, and stage career, including prominent roles in productions such as Law & Order and The Killing Fields.
-
D.
George Norton
George Norton was a British colonial-era lawyer and educator best known for establishing Presidency College in Madras, one of India’s earliest and most prestigious institutions of higher learning.
-
E.
David Strathairn
David Strathairn is an American character actor known for his nuanced performances in film, television, and theater, including acclaimed roles in works like "Good Night, and Good Luck" and "Nomadland."
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632d6150819085bab97021c0235a |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c80125c8190b0ac3f759cce1c32 |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:15 p.m.