Triple
T15872727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prefontaine |
E384869
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Eugene Corr
Eugene Corr is an American screenwriter and filmmaker known for his work on socially conscious films and documentaries.
|
E1183989
|
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: Eugene Corr | Statement: [Prefontaine, writer, Eugene Corr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugene Corr Context triple: [Prefontaine, writer, Eugene Corr]
-
A.
Eugene Daub
Eugene Daub is an American sculptor renowned for his public monuments and portrait statues, including prominent works of civil rights figures.
-
B.
Eugene Maurice
Eugene Maurice was a 17th-century French nobleman and military commander who held the title of Count of Soissons.
-
C.
Eugene Miller
Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
-
D.
Eugene Young
Eugene Young is a central defense attorney character in the legal drama television series "The Practice," known for his moral conviction and courtroom intensity.
-
E.
Eugene Isaac
Eugene Isaac is the son of Guatemalan-American actor Oscar Isaac.
- 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: Eugene Corr Triple: [Prefontaine, writer, Eugene Corr]
Generated description
Eugene Corr is an American screenwriter and filmmaker known for his work on socially conscious films and documentaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eugene Corr Target entity description: Eugene Corr is an American screenwriter and filmmaker known for his work on socially conscious films and documentaries.
-
A.
Eugene Daub
Eugene Daub is an American sculptor renowned for his public monuments and portrait statues, including prominent works of civil rights figures.
-
B.
Eugene Maurice
Eugene Maurice was a 17th-century French nobleman and military commander who held the title of Count of Soissons.
-
C.
Eugene Miller
Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
-
D.
Eugene Young
Eugene Young is a central defense attorney character in the legal drama television series "The Practice," known for his moral conviction and courtroom intensity.
-
E.
Eugene Isaac
Eugene Isaac is the son of Guatemalan-American actor Oscar Isaac.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155faefd08190af634867370796b3 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59ddc488190ae6b6913f85005f6 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb62f3d8881908ede4a9a4b53bef2 |
completed | May 9, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb6f3154481909632913f4d7cfdba |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 4:51 a.m.