Triple
T7092372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybylla Melvyn |
E165227
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sybylla
Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
|
E642656
|
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: Sybylla | Statement: [Sybylla Melvyn, givenName, Sybylla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sybylla Context triple: [Sybylla Melvyn, givenName, Sybylla]
-
A.
Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
-
B.
The Goddess
The Goddess is a 1915 American silent drama film starring Anita Stewart, produced by the Vitagraph Company of America.
-
C.
Sybil
Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
-
D.
Sybil
Sybil was an illegitimate daughter of King Henry I of England, known primarily through her royal lineage and connections within the Anglo-Norman nobility.
-
E.
Sybil
Sybil is an American R&B and pop singer best known for her late-1980s and early-1990s hits, including popular covers of classic soul songs.
- 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: Sybylla Triple: [Sybylla Melvyn, givenName, Sybylla]
Generated description
Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sybylla Target entity description: Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
-
A.
Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
-
B.
The Goddess
The Goddess is a 1915 American silent drama film starring Anita Stewart, produced by the Vitagraph Company of America.
-
C.
Sybil
Sybil is an American R&B and pop singer best known for her late-1980s and early-1990s hits, including popular covers of classic soul songs.
-
D.
Sybil
Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
-
E.
Sybil
Sybil was an illegitimate daughter of King Henry I of England, known primarily through her royal lineage and connections within the Anglo-Norman nobility.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c960484819098228cebccb8c935 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79ef0e8448190a8f0a7572ee87f5f |
completed | March 28, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79fa4e69881909cf991a5d0ab3de9 |
completed | March 28, 2026, 9:30 a.m. |
Created at: March 27, 2026, 2:41 p.m.