Triple
T15515955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two of a Kind |
E368834
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Joe Wizan
Joe Wizan was an American film producer and studio executive known for his work on numerous Hollywood features from the 1970s through the 1990s.
|
E1161987
|
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 Wizan | Statement: [Two of a Kind, producer, Joe Wizan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Wizan Context triple: [Two of a Kind, producer, Joe Wizan]
-
A.
Jon Witz
Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
-
B.
Joe Wredden
Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
-
C.
Tom Witzky
Tom Witzky is a working-class Chicago lineman whose sudden psychic visions drive the supernatural mystery at the heart of the film "Stir of Echoes."
-
D.
Chuck Wagner
Chuck Wagner is an American vintner best known as the co-founder and longtime winemaker of Napa Valley’s acclaimed Caymus Vineyards.
-
E.
Tony Leswick
Tony Leswick was a Canadian professional ice hockey forward best known for his clutch scoring and gritty two-way play in the NHL during the 1940s and 1950s.
- 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 Wizan Triple: [Two of a Kind, producer, Joe Wizan]
Generated description
Joe Wizan was an American film producer and studio executive known for his work on numerous Hollywood features from the 1970s through the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Wizan Target entity description: Joe Wizan was an American film producer and studio executive known for his work on numerous Hollywood features from the 1970s through the 1990s.
-
A.
Jon Witz
Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
-
B.
Joe Wredden
Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
-
C.
Tom Witzky
Tom Witzky is a working-class Chicago lineman whose sudden psychic visions drive the supernatural mystery at the heart of the film "Stir of Echoes."
-
D.
Chuck Wagner
Chuck Wagner is an American vintner best known as the co-founder and longtime winemaker of Napa Valley’s acclaimed Caymus Vineyards.
-
E.
Tony Leswick
Tony Leswick was a Canadian professional ice hockey forward best known for his clutch scoring and gritty two-way play in the NHL during the 1940s and 1950s.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5111648190a61fc87170b0d93c |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f075bb881908c254137ca7c3f9f |
completed | May 9, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f87f788819080eccae52b0df145 |
completed | May 9, 2026, 2:07 p.m. |
Created at: April 10, 2026, 4:02 a.m.