Triple
T12356234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Room |
E294619
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Mr. Kidd
Mr. Kidd is a mysterious, talkative landlord character in Harold Pinter’s play "The Room," contributing to the work’s atmosphere of ambiguity and menace.
|
E979928
|
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: Mr. Kidd | Statement: [The Room, hasCharacter, Mr. Kidd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Kidd Context triple: [The Room, hasCharacter, Mr. Kidd]
-
A.
Kidd
Kidd is a surname most prominently associated with Jason Kidd, a Hall of Fame NBA point guard and championship-winning coach.
-
B.
Mr. Bridger
Mr. Bridger is a suave, influential British crime boss who orchestrates the gold heist from behind bars in the classic heist film "The Italian Job."
-
C.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
D.
Mr. Kane
Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
-
E.
Sindbad Vail
Sindbad Vail is the son of art collector Peggy Guggenheim and her first husband, writer Laurence Vail.
- 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: Mr. Kidd Triple: [The Room, hasCharacter, Mr. Kidd]
Generated description
Mr. Kidd is a mysterious, talkative landlord character in Harold Pinter’s play "The Room," contributing to the work’s atmosphere of ambiguity and menace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Kidd Target entity description: Mr. Kidd is a mysterious, talkative landlord character in Harold Pinter’s play "The Room," contributing to the work’s atmosphere of ambiguity and menace.
-
A.
Kidd
Kidd is a surname most prominently associated with Jason Kidd, a Hall of Fame NBA point guard and championship-winning coach.
-
B.
Mr. Bridger
Mr. Bridger is a suave, influential British crime boss who orchestrates the gold heist from behind bars in the classic heist film "The Italian Job."
-
C.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
D.
Mr. Kane
Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
-
E.
Sindbad Vail
Sindbad Vail is the son of art collector Peggy Guggenheim and her first husband, writer Laurence Vail.
- 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.