Triple
T12356236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Room |
E294619
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Mr. Sands
Mr. Sands is a character in the cult independent film "The Room," known for its eccentric storytelling and offbeat performances.
|
E979929
|
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. Sands | Statement: [The Room, hasCharacter, Mr. Sands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Sands Context triple: [The Room, hasCharacter, Mr. Sands]
-
A.
Mr. Sands
Mr. Sands is a white slaveholder and the complex, often morally ambiguous love interest of the narrator in Harriet Jacobs’s autobiographical slave narrative "Incidents in the Life of a Slave Girl."
-
B.
Mr. Franks
Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
-
C.
Mr. Hill
Mr. Hill is the formal title used to address Marion Hill, likely in a professional or respectful social context.
-
D.
Mr. Peebles
Mr. Peebles is the pet shop owner in the classic Hanna-Barbera cartoon "Magilla Gorilla," known for repeatedly trying to sell the lovable gorilla Magilla.
-
E.
Mr. Peterson
Mr. Peterson is an educational track or course component associated with a broader learning program.
- 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. Sands Triple: [The Room, hasCharacter, Mr. Sands]
Generated description
Mr. Sands is a character in the cult independent film "The Room," known for its eccentric storytelling and offbeat performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Sands Target entity description: Mr. Sands is a character in the cult independent film "The Room," known for its eccentric storytelling and offbeat performances.
-
A.
Mr. Sands
Mr. Sands is a white slaveholder and the complex, often morally ambiguous love interest of the narrator in Harriet Jacobs’s autobiographical slave narrative "Incidents in the Life of a Slave Girl."
-
B.
Mr. Franks
Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
-
C.
Mr. Hill
Mr. Hill is the formal title used to address Marion Hill, likely in a professional or respectful social context.
-
D.
Mr. Peebles
Mr. Peebles is the pet shop owner in the classic Hanna-Barbera cartoon "Magilla Gorilla," known for repeatedly trying to sell the lovable gorilla Magilla.
-
E.
Mr. Peterson
Mr. Peterson is an educational track or course component associated with a broader learning program.
- 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.