Triple
T18669376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Things 2 |
E456429
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Joe Michael Burke
Joe Michael Burke is an American actor best known for his leading role in the erotic thriller film "Wild Things 2."
|
E1335621
|
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: Joe Michael Burke | Statement: [Wild Things 2, stars, Joe Michael Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Michael Burke Context triple: [Wild Things 2, stars, Joe Michael Burke]
-
A.
Michael Burke
Michael Burke is a screenwriter best known for co-writing the film "Last Weekend."
-
B.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
C.
Kevin Burke
Kevin Burke is an acclaimed Irish fiddler best known for his influential work in traditional Irish music and collaborations with prominent folk groups and artists.
-
D.
Dave Burke
Dave Burke is a central character in the 1959 film noir "Odds Against Tomorrow," depicted as a former police officer who masterminds a high-stakes bank heist.
-
E.
Jim Burke
Jim Burke is an American film producer known for his work on acclaimed movies such as "The Descendants" and "Green Book."
- 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: Joe Michael Burke Triple: [Wild Things 2, stars, Joe Michael Burke]
Generated description
Joe Michael Burke is an American actor best known for his leading role in the erotic thriller film "Wild Things 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Michael Burke Target entity description: Joe Michael Burke is an American actor best known for his leading role in the erotic thriller film "Wild Things 2."
-
A.
Michael Burke
Michael Burke is a screenwriter best known for co-writing the film "Last Weekend."
-
B.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
C.
Kevin Burke
Kevin Burke is an acclaimed Irish fiddler best known for his influential work in traditional Irish music and collaborations with prominent folk groups and artists.
-
D.
Dave Burke
Dave Burke is a central character in the 1959 film noir "Odds Against Tomorrow," depicted as a former police officer who masterminds a high-stakes bank heist.
-
E.
Jim Burke
Jim Burke is an American film producer known for his work on acclaimed movies such as "The Descendants" and "Green Book."
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b0502881909ea05f2746163746 |
completed | April 19, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05172d70348190a6a0ee667ae4c3ba |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a05186eb5588190abac960d598cbeff |
completed | May 14, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0518cf33f08190b0c8ef4fdaa8d9e1 |
completed | May 14, 2026, 12:35 a.m. |
Created at: April 10, 2026, 11:48 a.m.