Triple
T20387827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinner for Schmucks |
E498002
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tim Conrad
Tim Conrad is the well-meaning but insecure executive protagonist of the comedy film "Dinner for Schmucks," whose ambition and moral dilemmas drive the story’s central conflict.
|
E1427561
|
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: Tim Conrad | Statement: [Dinner for Schmucks, mainCharacter, Tim Conrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Conrad Context triple: [Dinner for Schmucks, mainCharacter, Tim Conrad]
-
A.
Michael Conrad
Michael Conrad was an American character actor best known for his Emmy-winning role as Sgt. Phil Esterhaus on the television series "Hill Street Blues."
-
B.
Tom Conrad
Tom Conrad is an American musician best known as the former guitarist and songwriter for the pop-punk band The Academy Is....
-
C.
David Conrad
David Conrad is an American actor best known for his role as Jim Clancy on the television series "Ghost Whisperer."
-
D.
Brian Hunt
Brian Hunt is a musician best known as a member of the alternative rock band The Kelley Deal 6000.
-
E.
Kevin Stevens
Kevin Stevens is a former American NHL power forward best known for his high-scoring seasons with the Pittsburgh Penguins in the early 1990s.
- 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: Tim Conrad Triple: [Dinner for Schmucks, mainCharacter, Tim Conrad]
Generated description
Tim Conrad is the well-meaning but insecure executive protagonist of the comedy film "Dinner for Schmucks," whose ambition and moral dilemmas drive the story’s central conflict.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Conrad Target entity description: Tim Conrad is the well-meaning but insecure executive protagonist of the comedy film "Dinner for Schmucks," whose ambition and moral dilemmas drive the story’s central conflict.
-
A.
Michael Conrad
Michael Conrad was an American character actor best known for his Emmy-winning role as Sgt. Phil Esterhaus on the television series "Hill Street Blues."
-
B.
Tom Conrad
Tom Conrad is an American musician best known as the former guitarist and songwriter for the pop-punk band The Academy Is....
-
C.
David Conrad
David Conrad is an American actor best known for his role as Jim Clancy on the television series "Ghost Whisperer."
-
D.
Brian Hunt
Brian Hunt is a musician best known as a member of the alternative rock band The Kelley Deal 6000.
-
E.
Kevin Stevens
Kevin Stevens is a former American NHL power forward best known for his high-scoring seasons with the Pittsburgh Penguins in the early 1990s.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761fdb8481908a4b9975c96aade9 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876b11c248190aefac57c32293ff0 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08772501e08190b6c104b3270cf2da |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:28 a.m.