Triple
T5187700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanted (2008 film) |
E117072
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Adam Siegel
Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
|
E526959
|
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: Adam Siegel | Statement: [Wanted (2008 film), producer, Adam Siegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Siegel Context triple: [Wanted (2008 film), producer, Adam Siegel]
-
A.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
B.
Neil Siegel
Neil Siegel is a prominent American legal scholar known for his work in constitutional law and theory, including the study of judicial behavior and the separation of powers.
-
C.
Jake Adelstein
Jake Adelstein is an American journalist and author best known for his memoir "Tokyo Vice," which chronicles his experiences reporting on crime and the yakuza for a major Japanese newspaper.
-
D.
Alex Segal
Alex Segal was an American film, television, and theater director active in the mid-20th century.
-
E.
Zev Siegl
Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
- 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: Adam Siegel Triple: [Wanted (2008 film), producer, Adam Siegel]
Generated description
Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Siegel Target entity description: Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
-
A.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
B.
Neil Siegel
Neil Siegel is a prominent American legal scholar known for his work in constitutional law and theory, including the study of judicial behavior and the separation of powers.
-
C.
Jake Adelstein
Jake Adelstein is an American journalist and author best known for his memoir "Tokyo Vice," which chronicles his experiences reporting on crime and the yakuza for a major Japanese newspaper.
-
D.
Alex Segal
Alex Segal was an American film, television, and theater director active in the mid-20th century.
-
E.
Zev Siegl
Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c56280819085926316f7b520bc |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfce9ced708190b3ed8f9708c6f519 |
completed | March 22, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69bfcf57ab108190a51e6fdd53b3f557 |
completed | March 22, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfcfe331808190959ee32bae1b0bf1 |
completed | March 22, 2026, 11:17 a.m. |
Created at: March 20, 2026, 1:46 p.m.