Triple
T14734689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Pankin |
E346172
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pankin
Pankin is a surname most notably associated with American actor and comedian Stuart Pankin, known for his work in film and television.
|
E1117705
|
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: Pankin | Statement: [Stuart Pankin, familyName, Pankin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pankin Context triple: [Stuart Pankin, familyName, Pankin]
-
A.
Panenka
Panenka is a famous football penalty-taking technique in which the kicker delicately chips the ball down the center of the goal, typically as the goalkeeper dives to one side.
-
B.
Pajari
Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
-
C.
Pojan
Pojan is a village in southern Albania located near the ancient Illyrian city of Apollonia.
-
D.
Pacanne
Pacanne was an 18th-century Miami chief known for his influential leadership and diplomatic role in relations between Native American tribes, European powers, and the emerging United States in the Great Lakes region.
-
E.
Porkeri
Porkeri is a small village on the island of Suðuroy in the Faroe Islands, known for its traditional Faroese architecture and scenic coastal setting.
- 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: Pankin Triple: [Stuart Pankin, familyName, Pankin]
Generated description
Pankin is a surname most notably associated with American actor and comedian Stuart Pankin, known for his work in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pankin Target entity description: Pankin is a surname most notably associated with American actor and comedian Stuart Pankin, known for his work in film and television.
-
A.
Panenka
Panenka is a famous football penalty-taking technique in which the kicker delicately chips the ball down the center of the goal, typically as the goalkeeper dives to one side.
-
B.
Pajari
Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
-
C.
Pojan
Pojan is a village in southern Albania located near the ancient Illyrian city of Apollonia.
-
D.
Pacanne
Pacanne was an 18th-century Miami chief known for his influential leadership and diplomatic role in relations between Native American tribes, European powers, and the emerging United States in the Great Lakes region.
-
E.
Porkeri
Porkeri is a small village on the island of Suðuroy in the Faroe Islands, known for its traditional Faroese architecture and scenic coastal setting.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8e0d488190851d73b75ba4c0a6 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fe0091cea48190a473f8602b05fe7c |
completed | May 8, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe010ab2b88190a1099ebba77d4d8b |
completed | May 8, 2026, 3:28 p.m. |
Created at: April 10, 2026, 1:29 a.m.