Triple
T7288491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law & Order |
E163933
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Michael Cutter
Michael Cutter is a fictional executive assistant district attorney known for his aggressive, hard-driving prosecution style on the television series "Law & Order."
|
E653948
|
NE FINISHED |
How this triple was built (4 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: [Law & Order, mainCharacter, Michael Cutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Cutter Context triple: [Law & Order, mainCharacter, Michael Cutter]
-
A.
Jeff Cutter
Jeff Cutter is an American cinematographer known for his work on genre films such as the thriller "10 Cloverfield Lane."
-
B.
James Cutler
James Cutler is an architect best known for designing the Salem Witch Trials Memorial in Salem, Massachusetts.
-
C.
Grant Cutler
Grant Cutler is a musician best known as a member of the indie supergroup Gayngs, contributing to its atmospheric, genre-blending sound.
-
D.
Michael C. Butler
Michael C. Butler is a cinematographer best known for his work on the blockbuster sequel film "Jaws 2."
-
E.
Max Detweiler
Max Detweiler is a charming, opportunistic music promoter and family friend in the musical and film "The Sound of Music," known for his wit and pragmatic attitude amid the rise of Nazism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michael Cutter Triple: [Law & Order, mainCharacter, Michael Cutter]
Generated description
Michael Cutter is a fictional executive assistant district attorney known for his aggressive, hard-driving prosecution style on the television series "Law & Order."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Cutter Target entity description: Michael Cutter is a fictional executive assistant district attorney known for his aggressive, hard-driving prosecution style on the television series "Law & Order."
-
A.
Jeff Cutter
Jeff Cutter is an American cinematographer known for his work on genre films such as the thriller "10 Cloverfield Lane."
-
B.
James Cutler
James Cutler is an architect best known for designing the Salem Witch Trials Memorial in Salem, Massachusetts.
-
C.
Grant Cutler
Grant Cutler is a musician best known as a member of the indie supergroup Gayngs, contributing to its atmospheric, genre-blending sound.
-
D.
Michael C. Butler
Michael C. Butler is a cinematographer best known for his work on the blockbuster sequel film "Jaws 2."
-
E.
Max Detweiler
Max Detweiler is a charming, opportunistic music promoter and family friend in the musical and film "The Sound of Music," known for his wit and pragmatic attitude amid the rise of Nazism.
- F. None of above. chosen
Provenance (5 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4671e08190874d5e099e883509 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dbc1ff0c8190bc7639a74a5d3af3 |
completed | March 28, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc6873a081908ea4e953430ec20b |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 3 p.m.