Triple
T15008792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin & Bash |
E377780
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Damien Karp
Damien Karp is a tightly wound, ambitious attorney and frequent foil to the laid-back leads in the legal dramedy series "Franklin & Bash."
|
E1146088
|
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: Damien Karp | Statement: [Franklin & Bash, character, Damien Karp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damien Karp Context triple: [Franklin & Bash, character, Damien Karp]
-
A.
Damien Brunner
Damien Brunner is a Swiss professional ice hockey forward known for his scoring ability in both the Swiss National League and the NHL.
-
B.
Jason DeMarco
Jason DeMarco is an American television producer and programming executive best known for co-creating and shaping Cartoon Network’s Toonami and Adult Swim blocks.
-
C.
Josh Kramon
Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
-
D.
Justin Nappi
Justin Nappi is a film producer known for his work on independent and drama films, including the feature "At Any Price."
-
E.
Troy Dannen
Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
- 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: Damien Karp Triple: [Franklin & Bash, character, Damien Karp]
Generated description
Damien Karp is a tightly wound, ambitious attorney and frequent foil to the laid-back leads in the legal dramedy series "Franklin & Bash."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damien Karp Target entity description: Damien Karp is a tightly wound, ambitious attorney and frequent foil to the laid-back leads in the legal dramedy series "Franklin & Bash."
-
A.
Damien Brunner
Damien Brunner is a Swiss professional ice hockey forward known for his scoring ability in both the Swiss National League and the NHL.
-
B.
Jason DeMarco
Jason DeMarco is an American television producer and programming executive best known for co-creating and shaping Cartoon Network’s Toonami and Adult Swim blocks.
-
C.
Josh Kramon
Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
-
D.
Justin Nappi
Justin Nappi is a film producer known for his work on independent and drama films, including the feature "At Any Price."
-
E.
Troy Dannen
Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e0ed148190bd357be922fe8319 |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee6db0e30819080ac51f35adb64d5 |
completed | May 9, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee74980a48190ae6054c3feabcf0e |
completed | May 9, 2026, 7:50 a.m. |
Created at: April 10, 2026, 2:55 a.m.