Triple
T19983053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Up |
E493864
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Ben Palmer
Ben Palmer is a British film and television director best known for his work on the comedy series "The Inbetweeners" and its successful film adaptation.
|
E1403762
|
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: Ben Palmer | Statement: [Man Up, director, Ben Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Palmer Context triple: [Man Up, director, Ben Palmer]
-
A.
Michael Palmer
Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
-
B.
Michael Palmer
Michael Palmer is an American poet known for his innovative, linguistically experimental work often associated with the Language poetry movement.
-
C.
Joe Palmer
Joe Palmer was an American outlaw best known as a member of the Barrow Gang, the criminal group associated with Bonnie and Clyde during the early 1930s.
-
D.
Bill Palmer
Bill Palmer is a linguist known for his documentation and analysis of the Kokota language.
-
E.
Lu Palmer
Lu Palmer was a prominent African American journalist, political activist, and radio commentator in Chicago known for his advocacy for civil rights and Black political empowerment.
- 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: Ben Palmer Triple: [Man Up, director, Ben Palmer]
Generated description
Ben Palmer is a British film and television director best known for his work on the comedy series "The Inbetweeners" and its successful film adaptation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Palmer Target entity description: Ben Palmer is a British film and television director best known for his work on the comedy series "The Inbetweeners" and its successful film adaptation.
-
A.
Michael Palmer
Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
-
B.
Michael Palmer
Michael Palmer is an American poet known for his innovative, linguistically experimental work often associated with the Language poetry movement.
-
C.
Joe Palmer
Joe Palmer was an American outlaw best known as a member of the Barrow Gang, the criminal group associated with Bonnie and Clyde during the early 1930s.
-
D.
Bill Palmer
Bill Palmer is a linguist known for his documentation and analysis of the Kokota language.
-
E.
Lu Palmer
Lu Palmer was a prominent African American journalist, political activist, and radio commentator in Chicago known for his advocacy for civil rights and Black political empowerment.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdddbf5c81908e194fb1d6c31e15 |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07fea23a988190832115346f8889ca |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff4a59608190a17f30f60c879efc |
completed | May 16, 2026, 5:23 a.m. |
Created at: April 11, 2026, 3:28 p.m.