Triple
T15440848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave (1993 film) |
E369894
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Bob Alexander
Bob Alexander is a scheming White House Chief of Staff who serves as the primary antagonist in the political comedy film "Dave" (1993).
|
E1158106
|
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 Alexander | Statement: [Dave (1993 film), mainCharacter, Bob Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Alexander Context triple: [Dave (1993 film), mainCharacter, Bob Alexander]
-
A.
Grant Richards
Grant Richards was a British publisher and author best known for issuing influential early 20th-century works, including James Joyce’s "Dubliners."
-
B.
Louis Applebaum
Louis Applebaum was a Canadian composer and conductor best known for his prolific film and television scores and his influential role in developing Canada's cultural institutions.
-
C.
Andrew Clark
Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
-
D.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
E.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
- 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 Alexander Triple: [Dave (1993 film), mainCharacter, Bob Alexander]
Generated description
Bob Alexander is a scheming White House Chief of Staff who serves as the primary antagonist in the political comedy film "Dave" (1993).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Alexander Target entity description: Bob Alexander is a scheming White House Chief of Staff who serves as the primary antagonist in the political comedy film "Dave" (1993).
-
A.
Grant Richards
Grant Richards was a British publisher and author best known for issuing influential early 20th-century works, including James Joyce’s "Dubliners."
-
B.
Louis Applebaum
Louis Applebaum was a Canadian composer and conductor best known for his prolific film and television scores and his influential role in developing Canada's cultural institutions.
-
C.
Andrew Clark
Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
-
D.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
E.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a9b9188190a3f5de3ee18c5d3e |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22e2f298819085c90e28acafef44 |
completed | May 9, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.