Triple
T5423547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karp |
E121307
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Bob Karp
Bob Karp was an American comic strip writer best known for his long-running work on Disney’s Donald Duck newspaper comics.
|
E519709
|
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: Bob Karp | Statement: [Karp, hasNotableBearer, Bob Karp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Karp Context triple: [Karp, hasNotableBearer, Bob Karp]
-
A.
Steve Kirsch
Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
-
B.
Dan Pfeiffer
Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
-
C.
Joe Rohde
Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
-
D.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
E.
Larry Kellner
Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
- 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: Bob Karp Triple: [Karp, hasNotableBearer, Bob Karp]
Generated description
Bob Karp was an American comic strip writer best known for his long-running work on Disney’s Donald Duck newspaper comics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Karp Target entity description: Bob Karp was an American comic strip writer best known for his long-running work on Disney’s Donald Duck newspaper comics.
-
A.
Steve Kirsch
Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
-
B.
Dan Pfeiffer
Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
-
C.
Joe Rohde
Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
-
D.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
E.
Larry Kellner
Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8812f84c819094d8516f69fff83d |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab7f6b481908fead172fbdafe36 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3bc4b1e08190a7574b3ec67823e4 |
completed | March 22, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3c4530288190924b4c38d7b1fb70 |
completed | March 22, 2026, 12:48 a.m. |
Created at: March 20, 2026, 2:06 p.m.