Triple
T1011817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Magic Sword |
E21839
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Sybil
Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
|
E123794
|
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: Sybil | Statement: [The Magic Sword, character, Sybil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sybil Context triple: [The Magic Sword, character, Sybil]
-
A.
Sybil, or The Two Nations
Sybil, or The Two Nations is an 1845 social and political novel by Benjamin Disraeli that explores the deep class divisions and harsh conditions of the English working poor during the Industrial Revolution.
-
B.
The Sisters
"The Sisters" is a Caroline-era stage comedy by English playwright James Shirley, known for its witty exploration of family, marriage, and social manners.
-
C.
Maud
Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
-
D.
The Mysterious Mother
The Mysterious Mother is a 1768 Gothic verse drama by Horace Walpole that explores dark themes of incest, guilt, and religious anxiety within an aristocratic family.
-
E.
Clemmie
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
- 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: Sybil Triple: [The Magic Sword, character, Sybil]
Generated description
Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sybil Target entity description: Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
-
A.
Sybil, or The Two Nations
Sybil, or The Two Nations is an 1845 social and political novel by Benjamin Disraeli that explores the deep class divisions and harsh conditions of the English working poor during the Industrial Revolution.
-
B.
The Sisters
"The Sisters" is a Caroline-era stage comedy by English playwright James Shirley, known for its witty exploration of family, marriage, and social manners.
-
C.
Maud
Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
-
D.
The Mysterious Mother
The Mysterious Mother is a 1768 Gothic verse drama by Horace Walpole that explores dark themes of incest, guilt, and religious anxiety within an aristocratic family.
-
E.
Clemmie
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a743cc8190a46e6a14e3e8130f |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429016088190bf06c7327471d3d3 |
completed | March 7, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ac4311f7f08190ae86aacb7f2103d7 |
completed | March 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43891ed88190a5b8b51341e98929 |
completed | March 7, 2026, 3:26 p.m. |
Created at: March 1, 2026, 7:41 p.m.