Triple
T8431721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MI-5 |
E199128
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Will Keen |
E707625
|
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: Will Keen | Statement: [MI-5, hasCastMember, Will Keen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Keen Context triple: [MI-5, hasCastMember, Will Keen]
-
A.
Will Keen
chosen
Will Keen is a British actor known for his work in television, film, and theatre, including roles in series such as "His Dark Materials."
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Alan Keen
Alan Keen was a British Labour Party politician who served as Member of Parliament for Feltham and Heston from 1992 until his death in 2011.
-
D.
Stephen Rojack
Stephen Rojack is the psychologically tormented, war-hero-turned-TV-personality at the center of Norman Mailer’s novel "An American Dream," whose violent actions and moral unraveling drive the book’s exploration of guilt, power, and existential crisis.
-
E.
Christopher Keene
Christopher Keene was an American conductor best known for his leadership in opera, including his tenure heading major U.S. opera companies and championing contemporary works.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce038902308190bff57c9ce14e72ed |
completed | April 2, 2026, 5:50 a.m. |
Created at: March 30, 2026, 6:07 p.m.