Triple
T7969418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Leota |
E185285
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Little Leota
Little Leota is a smaller, ghostly bride-like character in Disney's Haunted Mansion attraction, known for her eerie farewell line to departing guests.
|
E704805
|
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: Little Leota | Statement: [Madame Leota, hasVariant, Little Leota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Leota Context triple: [Madame Leota, hasVariant, Little Leota]
-
A.
Little One
Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
-
B.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
C.
Lila
Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Lessa
Lessa is the fiercely determined and telepathically gifted heroine of Anne McCaffrey’s Dragonriders of Pern series, known for her bond with the golden queen dragon Ramoth and her pivotal role in saving Pern.
- 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: Little Leota Triple: [Madame Leota, hasVariant, Little Leota]
Generated description
Little Leota is a smaller, ghostly bride-like character in Disney's Haunted Mansion attraction, known for her eerie farewell line to departing guests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Leota Target entity description: Little Leota is a smaller, ghostly bride-like character in Disney's Haunted Mansion attraction, known for her eerie farewell line to departing guests.
-
A.
Little One
Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
-
B.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
C.
Lila
Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Lessa
Lessa is the fiercely determined and telepathically gifted heroine of Anne McCaffrey’s Dragonriders of Pern series, known for her bond with the golden queen dragon Ramoth and her pivotal role in saving Pern.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd1c9a081909759e5bf5237204e |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0aadcc48190ae35154195099029 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cc46c11e68819087f5083bb85ec7ab |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc47fa1524819089ef5b3f8bf7f670 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.