Triple
T20387256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus (2017 film) |
E497990
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jim Dougherty
Jim Dougherty is an actor known for his role in the 2017 drama film "Columbus."
|
E1471349
|
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: Jim Dougherty | Statement: [Columbus (2017 film), starring, Jim Dougherty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Dougherty Context triple: [Columbus (2017 film), starring, Jim Dougherty]
-
A.
Jim Dougherty
Jim Dougherty is an American entrepreneur best known as the founder of the pet retail chain PetSmart.
-
B.
James Dougherty
James Dougherty was an American police officer best known as the first husband of Marilyn Monroe before she became a famous actress.
-
C.
Joe Dougherty
Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
-
D.
Charles Dougherty
Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
-
E.
Peter Dougherty
Peter Dougherty was a television producer and director best known for co-creating and shaping the influential hip-hop music video program "Yo! MTV Raps."
- 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: Jim Dougherty Triple: [Columbus (2017 film), starring, Jim Dougherty]
Generated description
Jim Dougherty is an actor known for his role in the 2017 drama film "Columbus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Dougherty Target entity description: Jim Dougherty is an actor known for his role in the 2017 drama film "Columbus."
-
A.
Jim Dougherty
Jim Dougherty is an American entrepreneur best known as the founder of the pet retail chain PetSmart.
-
B.
James Dougherty
James Dougherty was an American police officer best known as the first husband of Marilyn Monroe before she became a famous actress.
-
C.
Joe Dougherty
Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
-
D.
Charles Dougherty
Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
-
E.
Peter Dougherty
Peter Dougherty was a television producer and director best known for co-creating and shaping the influential hip-hop music video program "Yo! MTV Raps."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097eb1ae1c8190ac750488eb6526a5 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a097fa00f508190af32ac64fb5d28e2 |
completed | May 17, 2026, 8:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0980269dd081908784f56fe9f56113 |
completed | May 17, 2026, 8:45 a.m. |
Created at: April 16, 2026, 11:28 a.m.