Triple
T12356233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Room |
E294619
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Bert Hudd
Bert Hudd is a minor character from the cult film "The Room," known for his brief and somewhat obscure role in the movie’s eccentric ensemble.
|
E979927
|
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: Bert Hudd | Statement: [The Room, hasCharacter, Bert Hudd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Hudd Context triple: [The Room, hasCharacter, Bert Hudd]
-
A.
Bert Harrison
Bert Harrison is a fictional protagonist best known as the central character in the work "Trophy Wife."
-
B.
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
C.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
D.
Rich Buckler
Rich Buckler was an American comic book artist best known for his work at Marvel and DC Comics, including notable runs on titles like Fantastic Four and Deathlok.
-
E.
Bert Whalley
Bert Whalley was an English football coach and former player for Manchester United who tragically died in the 1958 Munich air disaster.
- 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: Bert Hudd Triple: [The Room, hasCharacter, Bert Hudd]
Generated description
Bert Hudd is a minor character from the cult film "The Room," known for his brief and somewhat obscure role in the movie’s eccentric ensemble.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bert Hudd Target entity description: Bert Hudd is a minor character from the cult film "The Room," known for his brief and somewhat obscure role in the movie’s eccentric ensemble.
-
A.
Bert Harrison
Bert Harrison is a fictional protagonist best known as the central character in the work "Trophy Wife."
-
B.
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
C.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
D.
Rich Buckler
Rich Buckler was an American comic book artist best known for his work at Marvel and DC Comics, including notable runs on titles like Fantastic Four and Deathlok.
-
E.
Bert Whalley
Bert Whalley was an English football coach and former player for Manchester United who tragically died in the 1958 Munich air disaster.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8e64dc81908c2242c68cd1b86e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab4cdec8190849604ef2ec498ba |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62be420308190bcb00d8b37b09ea2 |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63050f5d48190881688d12c4c1819 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 8, 2026, 9:54 p.m.