Triple
T9787786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Potato Head |
E237531
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
George Lerner
George Lerner was an American toy inventor best known for creating the iconic Mr. Potato Head character.
|
E868254
|
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: George Lerner | Statement: [Mr. Potato Head, creator, George Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Lerner Context triple: [Mr. Potato Head, creator, George Lerner]
-
A.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
B.
Murray Lerner
Murray Lerner was an American documentary and concert filmmaker best known for his music films capturing iconic performances by artists such as Bob Dylan, Jimi Hendrix, and The Who.
-
C.
Mark Lerner
Mark Lerner is an American businessman best known as a principal owner of the Washington Nationals Major League Baseball team and the son of real estate magnate Ted Lerner.
-
D.
Jerry Bresler
Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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: George Lerner Triple: [Mr. Potato Head, creator, George Lerner]
Generated description
George Lerner was an American toy inventor best known for creating the iconic Mr. Potato Head character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Lerner Target entity description: George Lerner was an American toy inventor best known for creating the iconic Mr. Potato Head character.
-
A.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
B.
Murray Lerner
Murray Lerner was an American documentary and concert filmmaker best known for his music films capturing iconic performances by artists such as Bob Dylan, Jimi Hendrix, and The Who.
-
C.
Mark Lerner
Mark Lerner is an American businessman best known as a principal owner of the Washington Nationals Major League Baseball team and the son of real estate magnate Ted Lerner.
-
D.
Jerry Bresler
Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda211b0608190bc8ceb905d02db83 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d3dfbac819087d07c35a1776064 |
completed | April 10, 2026, 2:46 p.m. |
| NEDg | Description generation | batch_69d9100604e08190b744b361d60188d5 |
completed | April 10, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d910a1cdb88190988db41e97341ed9 |
completed | April 10, 2026, 3 p.m. |
Created at: March 30, 2026, 8:27 p.m.