Triple
T14941665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi's Mansion 3 |
E372544
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object |
Hellen Gravely
Hellen Gravely is the ghostly hotel owner and main villain in Luigi's Mansion 3, known for her obsession with fame and admiration from King Boo.
|
E1127962
|
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: Hellen Gravely | Statement: [Luigi's Mansion 3, antagonist, Hellen Gravely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellen Gravely Context triple: [Luigi's Mansion 3, antagonist, Hellen Gravely]
-
A.
Diana Graves
Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
-
B.
Tamara Greer
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
-
C.
Thea Gregory
Thea Gregory was a British actress active in the mid-20th century, known for her roles in films such as the science fiction movie "Spaceways."
-
D.
Rebecca Greer
Rebecca Greer is an American author and journalist known for her influential feminist writings and commentary on women's roles in modern society.
-
E.
Shelley Considine
Shelley Considine is the wife of English actor and filmmaker Paddy Considine, known for maintaining a largely private life outside of her husband's public career.
- 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: Hellen Gravely Triple: [Luigi's Mansion 3, antagonist, Hellen Gravely]
Generated description
Hellen Gravely is the ghostly hotel owner and main villain in Luigi's Mansion 3, known for her obsession with fame and admiration from King Boo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hellen Gravely Target entity description: Hellen Gravely is the ghostly hotel owner and main villain in Luigi's Mansion 3, known for her obsession with fame and admiration from King Boo.
-
A.
Diana Graves
Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
-
B.
Tamara Greer
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
-
C.
Thea Gregory
Thea Gregory was a British actress active in the mid-20th century, known for her roles in films such as the science fiction movie "Spaceways."
-
D.
Rebecca Greer
Rebecca Greer is an American author and journalist known for her influential feminist writings and commentary on women's roles in modern society.
-
E.
Shelley Considine
Shelley Considine is the wife of English actor and filmmaker Paddy Considine, known for maintaining a largely private life outside of her husband's public career.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e929f3881908560b8428e72327d |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe80c984288190a10abebc8c07e00d |
completed | May 9, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe818794908190a2fa686adb0575d5 |
completed | May 9, 2026, 12:36 a.m. |
Created at: April 10, 2026, 2:38 a.m.