Triple
T13109309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mick |
E310928
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Ben Pemberton
Ben Pemberton is a fictional character from the American sitcom "The Mick," which follows a reckless aunt unexpectedly raising her wealthy sister’s spoiled children.
|
E1053290
|
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 Pemberton | Statement: [The Mick, hasCharacter, Ben Pemberton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Pemberton Context triple: [The Mick, hasCharacter, Ben Pemberton]
-
A.
Pat Pemberton
Pat Pemberton is the determined, athletically gifted female protagonist of the 1952 sports comedy film "Pat and Mike," famously portrayed by Katharine Hepburn.
-
B.
Ben Durrant
Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
-
C.
George Briggs
George Briggs is a drifter and claim jumper in the American frontier who becomes an unlikely escort for three mentally ill women in the novel and film "The Homesman."
-
D.
Frank Pembleton
Frank Pembleton is a brilliant, intense, and morally driven homicide detective from the television series "Homicide: Life on the Street."
-
E.
Ben Bilburn
Ben Bilburn is a music producer known for his work on Chance the Rapper’s debut studio album "The Big Day."
- 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 Pemberton Triple: [The Mick, hasCharacter, Ben Pemberton]
Generated description
Ben Pemberton is a fictional character from the American sitcom "The Mick," which follows a reckless aunt unexpectedly raising her wealthy sister’s spoiled children.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Pemberton Target entity description: Ben Pemberton is a fictional character from the American sitcom "The Mick," which follows a reckless aunt unexpectedly raising her wealthy sister’s spoiled children.
-
A.
Pat Pemberton
Pat Pemberton is the determined, athletically gifted female protagonist of the 1952 sports comedy film "Pat and Mike," famously portrayed by Katharine Hepburn.
-
B.
Ben Durrant
Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
-
C.
George Briggs
George Briggs is a drifter and claim jumper in the American frontier who becomes an unlikely escort for three mentally ill women in the novel and film "The Homesman."
-
D.
Frank Pembleton
Frank Pembleton is a brilliant, intense, and morally driven homicide detective from the television series "Homicide: Life on the Street."
-
E.
Ben Bilburn
Ben Bilburn is a music producer known for his work on Chance the Rapper’s debut studio album "The Big Day."
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78acdaae881908825e5308f0ba388 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78cdf1a74819087b0370060ddfa99 |
completed | May 3, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78e00007c81909007a751fd4625c2 |
completed | May 3, 2026, 6:03 p.m. |
Created at: April 9, 2026, 9:05 p.m.