Triple
T13933299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Hart |
E335045
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Eric Appel
Eric Appel is an American film and television director and writer known for his work on comedy projects including the action-comedy series "Die Hart."
|
E1069925
|
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: Eric Appel | Statement: [Die Hart, director, Eric Appel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Appel Context triple: [Die Hart, director, Eric Appel]
-
A.
Eric Zimmerman
Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
-
B.
Richard Appel
Richard Appel is an American television writer and producer best known for his work on animated series such as The Simpsons, King of the Hill, and Family Guy.
-
C.
Jason Rothenberg
Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
-
D.
Art Cohn
Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
-
E.
Michael Richter
Michael Richter is a relatively common personal name shared by multiple individuals across fields such as sports, academia, and the arts.
- 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: Eric Appel Triple: [Die Hart, director, Eric Appel]
Generated description
Eric Appel is an American film and television director and writer known for his work on comedy projects including the action-comedy series "Die Hart."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Appel Target entity description: Eric Appel is an American film and television director and writer known for his work on comedy projects including the action-comedy series "Die Hart."
-
A.
Eric Zimmerman
Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
-
B.
Richard Appel
Richard Appel is an American television writer and producer best known for his work on animated series such as The Simpsons, King of the Hill, and Family Guy.
-
C.
Jason Rothenberg
Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
-
D.
Art Cohn
Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
-
E.
Michael Richter
Michael Richter is a relatively common personal name shared by multiple individuals across fields such as sports, academia, and the arts.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5b82f48190b0b89ddca25883cc |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f9fea0a9dc8190b5b65dfec9626949 |
completed | May 5, 2026, 2:28 p.m. |
Created at: April 9, 2026, 10:17 p.m.