Triple
T11588918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linus Roache |
E274827
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Michael Cutter |
E653948
|
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 Cutter | Statement: [Linus Roache, playedCharacter, Michael Cutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Cutter Context triple: [Linus Roache, playedCharacter, Michael Cutter]
-
A.
Michael Cutter
chosen
Michael Cutter is a fictional executive assistant district attorney known for his aggressive, hard-driving prosecution style on the television series "Law & Order."
-
B.
Jeff Cutter
Jeff Cutter is an American cinematographer known for his work on genre films such as the thriller "10 Cloverfield Lane."
-
C.
James Cutler
James Cutler is an architect best known for designing the Salem Witch Trials Memorial in Salem, Massachusetts.
-
D.
Charles Keefe
Charles Keefe is a fictional high-profile political figure whose life becomes the focus of an assassination plot in the thriller film "Red Eye."
-
E.
Grant Cutler
Grant Cutler is a musician best known as a member of the indie supergroup Gayngs, contributing to its atmospheric, genre-blending sound.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e71451f1388190b72d7b755d198999 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.