Triple
T14102604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are We There Yet? (film) |
E339420
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Dan Kolsrud
Dan Kolsrud is a film producer best known for his work on the family road-trip comedy "Are We There Yet?" starring Ice Cube.
|
E1094171
|
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: Dan Kolsrud | Statement: [Are We There Yet? (film), producer, Dan Kolsrud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Kolsrud Context triple: [Are We There Yet? (film), producer, Dan Kolsrud]
-
A.
Kurt Johnstad
Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
-
B.
Douglas Hegdahl
Douglas Hegdahl is a former U.S. Navy sailor and Vietnam War prisoner of war known for his remarkable memory, which he used to secretly record details about fellow POWs while held at the "Hanoi Hilton" and later provide crucial testimony about their treatment.
-
C.
Warren Skaaren
Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
-
D.
Dan Paulson
Dan Paulson is a film and television producer best known for his work on action films like "Passenger 57."
-
E.
Kurt Jensen
Kurt Jensen was a microbiologist known for co-developing the Lowenstein–Jensen medium, a key culture medium used in the diagnosis of tuberculosis.
- 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: Dan Kolsrud Triple: [Are We There Yet? (film), producer, Dan Kolsrud]
Generated description
Dan Kolsrud is a film producer best known for his work on the family road-trip comedy "Are We There Yet?" starring Ice Cube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Kolsrud Target entity description: Dan Kolsrud is a film producer best known for his work on the family road-trip comedy "Are We There Yet?" starring Ice Cube.
-
A.
Kurt Johnstad
Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
-
B.
Douglas Hegdahl
Douglas Hegdahl is a former U.S. Navy sailor and Vietnam War prisoner of war known for his remarkable memory, which he used to secretly record details about fellow POWs while held at the "Hanoi Hilton" and later provide crucial testimony about their treatment.
-
C.
Warren Skaaren
Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
-
D.
Dan Paulson
Dan Paulson is a film and television producer best known for his work on action films like "Passenger 57."
-
E.
Kurt Jensen
Kurt Jensen was a microbiologist known for co-developing the Lowenstein–Jensen medium, a key culture medium used in the diagnosis of tuberculosis.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466febb88190986eb8f033d29279 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.