Triple
T3536331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Spacey as Dave Harken |
E74781
|
entity |
| Predicate | characterName |
P36851
|
FINISHED |
| Object |
Dave Harken
Dave Harken is the tyrannical, manipulative boss and main antagonist portrayed by Kevin Spacey in the dark comedy film "Horrible Bosses."
|
E367158
|
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: Dave Harken | Statement: [Kevin Spacey as Dave Harken, characterName, Dave Harken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Harken Context triple: [Kevin Spacey as Dave Harken, characterName, Dave Harken]
-
A.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
B.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
C.
Dave Keuning
Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
-
D.
Jack Feore
Jack Feore is the son of Canadian-American actor Colm Feore.
-
E.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
- 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: Dave Harken Triple: [Kevin Spacey as Dave Harken, characterName, Dave Harken]
Generated description
Dave Harken is the tyrannical, manipulative boss and main antagonist portrayed by Kevin Spacey in the dark comedy film "Horrible Bosses."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Harken Target entity description: Dave Harken is the tyrannical, manipulative boss and main antagonist portrayed by Kevin Spacey in the dark comedy film "Horrible Bosses."
-
A.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
B.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
C.
Dave Keuning
Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
-
D.
Jack Feore
Jack Feore is the son of Canadian-American actor Colm Feore.
-
E.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd237e881909df210a42346b572 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38f85806081908dcbb60f505996bf |
completed | March 13, 2026, 4:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b39021ef8081909cf38c2403810460 |
completed | March 13, 2026, 4:18 a.m. |
Created at: March 8, 2026, 3:20 p.m.