Triple
T5721505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Castellaneta |
E126155
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Hans Moleman
Hans Moleman is a frail, elderly, perpetually unlucky background character from the animated television series "The Simpsons."
|
E541327
|
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: Hans Moleman | Statement: [Dan Castellaneta, hasRole, Hans Moleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Moleman Context triple: [Dan Castellaneta, hasRole, Hans Moleman]
-
A.
Marius Burger
Marius Burger is an individual notable enough to be recognized as a distinguished bearer of the surname Burger.
-
B.
Hans Bonte
Hans Bonte is a Belgian politician known for serving as the mayor of Vilvoorde and as a member of the federal parliament.
-
C.
Gerald Morkel
Gerald Morkel was a South African politician who became the first Premier of the Western Cape province after the end of apartheid.
-
D.
Jules Cronjager
Jules Cronjager was an early 20th-century cinematographer and industry figure who helped shape the professional community of American cameramen.
-
E.
Johannes Burgers
Johannes Burgers was a Dutch entrepreneur and zoo director best known as the founder of the renowned Burgers' Zoo in Arnhem, the Netherlands.
- 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: Hans Moleman Triple: [Dan Castellaneta, hasRole, Hans Moleman]
Generated description
Hans Moleman is a frail, elderly, perpetually unlucky background character from the animated television series "The Simpsons."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hans Moleman Target entity description: Hans Moleman is a frail, elderly, perpetually unlucky background character from the animated television series "The Simpsons."
-
A.
Marius Burger
Marius Burger is an individual notable enough to be recognized as a distinguished bearer of the surname Burger.
-
B.
Hans Bonte
Hans Bonte is a Belgian politician known for serving as the mayor of Vilvoorde and as a member of the federal parliament.
-
C.
Gerald Morkel
Gerald Morkel was a South African politician who became the first Premier of the Western Cape province after the end of apartheid.
-
D.
Jules Cronjager
Jules Cronjager was an early 20th-century cinematographer and industry figure who helped shape the professional community of American cameramen.
-
E.
Johannes Burgers
Johannes Burgers was a Dutch entrepreneur and zoo director best known as the founder of the renowned Burgers' Zoo in Arnhem, the Netherlands.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e5697081908096b42b3d71c9a7 |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a80aefc8190b6ea35ab405ea502 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05c7663388190ab491144149532a4 |
completed | March 22, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d2ef9488190ac0111cb6a94b1d0 |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:46 p.m.