Triple
T6796195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mort |
E156058
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Ysabell
Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
|
E620081
|
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: Ysabell | Statement: [Mort, featuresCharacter, Ysabell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ysabell Context triple: [Mort, featuresCharacter, Ysabell]
-
A.
Elysette
Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
-
B.
Aelinde of Amboise
Aelinde of Amboise was a medieval noblewoman known primarily as the wife of Ingelger, the founder of the House of Anjou.
-
C.
Isabelle
Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
-
D.
Ella of Frell
Ella of Frell is the spirited, strong-willed heroine of Gail Carson Levine’s novel "Ella Enchanted," known for struggling against a magical curse of obedience to claim her own agency.
-
E.
Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
- 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: Ysabell Triple: [Mort, featuresCharacter, Ysabell]
Generated description
Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ysabell Target entity description: Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
-
A.
Elysette
Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
-
B.
Aelinde of Amboise
Aelinde of Amboise was a medieval noblewoman known primarily as the wife of Ingelger, the founder of the House of Anjou.
-
C.
Isabelle
Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
-
D.
Ella of Frell
Ella of Frell is the spirited, strong-willed heroine of Gail Carson Levine’s novel "Ella Enchanted," known for struggling against a magical curse of obedience to claim her own agency.
-
E.
Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c872f0819092f21e8fdbecc667 |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a95987c8190ae8ed5840a6744f0 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71ba85f608190b372a4dfe2cdc31c |
completed | March 28, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c91e08c81908be81efc2087464a |
completed | March 28, 2026, 12:10 a.m. |
Created at: March 27, 2026, 2:15 p.m.