Triple
T8766511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack and Jill |
E208351
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object |
Ben Zook
Ben Zook is an American writer, producer, and actor known for his work in film and television comedy.
|
E757309
|
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 Zook | Statement: [Jack and Jill, storyBy, Ben Zook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Zook Context triple: [Jack and Jill, storyBy, Ben Zook]
-
A.
Philip W. Goetz
Philip W. Goetz is an American editor best known for serving as the chief editor of the 15th edition of the Encyclopaedia Britannica.
-
B.
Ken Heintzelman
Ken Heintzelman was a left-handed Major League Baseball pitcher who played primarily for the Pittsburgh Pirates and Philadelphia Phillies in the 1930s–1950s.
-
C.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
-
D.
Edward A. Merritt
Edward A. Merritt was an American political figure who served as a prominent federal customs official in New York during the late 19th century.
-
E.
Ben H. Carpenter
Ben H. Carpenter was a prominent Texas real estate developer best known for master-planning and creating the Las Colinas mixed-use urban center in Irving.
- 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 Zook Triple: [Jack and Jill, storyBy, Ben Zook]
Generated description
Ben Zook is an American writer, producer, and actor known for his work in film and television comedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Zook Target entity description: Ben Zook is an American writer, producer, and actor known for his work in film and television comedy.
-
A.
Philip W. Goetz
Philip W. Goetz is an American editor best known for serving as the chief editor of the 15th edition of the Encyclopaedia Britannica.
-
B.
Ken Heintzelman
Ken Heintzelman was a left-handed Major League Baseball pitcher who played primarily for the Pittsburgh Pirates and Philadelphia Phillies in the 1930s–1950s.
-
C.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
-
D.
Edward A. Merritt
Edward A. Merritt was an American political figure who served as a prominent federal customs official in New York during the late 19th century.
-
E.
Ben H. Carpenter
Ben H. Carpenter was a prominent Texas real estate developer best known for master-planning and creating the Las Colinas mixed-use urban center in Irving.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf519f029081908ad0ae79f35b3e9d |
completed | April 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69cf560021148190b60f3f32b0a952b4 |
completed | April 3, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5654aa4c8190a368a0caca8ed45b |
completed | April 3, 2026, 5:55 a.m. |
Created at: March 30, 2026, 6:41 p.m.