Triple
T9983980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nash Bridges |
E196519
|
entity |
| Predicate | supportingCharacter |
P7748
|
FINISHED |
| Object |
Evan Cortez
Evan Cortez is a recurring police inspector and close colleague of the title character in the crime drama television series "Nash Bridges."
|
E834261
|
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: Evan Cortez | Statement: [Nash Bridges, supportingCharacter, Evan Cortez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Cortez Context triple: [Nash Bridges, supportingCharacter, Evan Cortez]
-
A.
Ethan Maniquis
Ethan Maniquis is a film editor and director best known for co-directing the action exploitation film "Machete."
-
B.
Luke Alvez
Luke Alvez is a former Army Ranger and FBI agent who joins the Behavioral Analysis Unit as a main profiler in the television series "Criminal Minds."
-
C.
Brandon Perea
Brandon Perea is an American actor best known for his breakout role as tech-savvy salesman Angel Torres in Jordan Peele’s sci-fi horror film "Nope."
-
D.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
E.
Evan Burrows
Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
- 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: Evan Cortez Triple: [Nash Bridges, supportingCharacter, Evan Cortez]
Generated description
Evan Cortez is a recurring police inspector and close colleague of the title character in the crime drama television series "Nash Bridges."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evan Cortez Target entity description: Evan Cortez is a recurring police inspector and close colleague of the title character in the crime drama television series "Nash Bridges."
-
A.
Ethan Maniquis
Ethan Maniquis is a film editor and director best known for co-directing the action exploitation film "Machete."
-
B.
Luke Alvez
Luke Alvez is a former Army Ranger and FBI agent who joins the Behavioral Analysis Unit as a main profiler in the television series "Criminal Minds."
-
C.
Brandon Perea
Brandon Perea is an American actor best known for his breakout role as tech-savvy salesman Angel Torres in Jordan Peele’s sci-fi horror film "Nope."
-
D.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
E.
Evan Burrows
Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bdc0388190bbbd4bdc5ac3adec |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257f3c59481909b90896be0f3a870 |
completed | April 5, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25981db3c8190b7b4935cdcc1fe1c |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 8:49 p.m.