Triple
T10226240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Crime |
E243210
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tom Rooker
Tom Rooker is a television producer known for his work on the true crime series "True Crime."
|
E852852
|
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: Tom Rooker | Statement: [True Crime, producer, Tom Rooker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Rooker Context triple: [True Crime, producer, Tom Rooker]
-
A.
Kirk Alyn
Kirk Alyn was an American actor best known for being the first to portray Superman in a live-action film series in the late 1940s.
-
B.
Raymond Wallace Bolger
Raymond Wallace Bolger was an American actor, singer, and dancer best known for his iconic role as the Scarecrow in the classic film "The Wizard of Oz."
-
C.
Sam Jaeger
Sam Jaeger is an American actor best known for his role as Joel Graham on the television drama series "Parenthood."
-
D.
Michael Rooker
Michael Rooker is an American actor best known for his roles as Yondu in the Marvel Cinematic Universe and Merle Dixon in the television series The Walking Dead.
-
E.
Wes Studi
Wes Studi is a Cherokee American actor renowned for his powerful portrayals of Native American characters in films such as "Dances with Wolves," "The Last of the Mohicans," and "Avatar."
- 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: Tom Rooker Triple: [True Crime, producer, Tom Rooker]
Generated description
Tom Rooker is a television producer known for his work on the true crime series "True Crime."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Rooker Target entity description: Tom Rooker is a television producer known for his work on the true crime series "True Crime."
-
A.
Kirk Alyn
Kirk Alyn was an American actor best known for being the first to portray Superman in a live-action film series in the late 1940s.
-
B.
Raymond Wallace Bolger
Raymond Wallace Bolger was an American actor, singer, and dancer best known for his iconic role as the Scarecrow in the classic film "The Wizard of Oz."
-
C.
Sam Jaeger
Sam Jaeger is an American actor best known for his role as Joel Graham on the television drama series "Parenthood."
-
D.
Michael Rooker
Michael Rooker is an American actor best known for his roles as Yondu in the Marvel Cinematic Universe and Merle Dixon in the television series The Walking Dead.
-
E.
Wes Studi
Wes Studi is a Cherokee American actor renowned for his powerful portrayals of Native American characters in films such as "Dances with Wolves," "The Last of the Mohicans," and "Avatar."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f71fb4048190a36f1fe499729332 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.