Triple
T16379393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Witcher |
E397759
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Ciri
Ciri is a central character in The Witcher series, a princess of Cintra with Elder Blood who becomes Geralt of Rivia’s adopted daughter and a powerful, dimension-traveling warrior.
|
E1211078
|
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: Ciri | Statement: [The Witcher, notableCharacter, Ciri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciri Context triple: [The Witcher, notableCharacter, Ciri]
-
A.
Chiuri
Chiuri is an Italian surname most prominently associated with Maria Grazia Chiuri, the influential fashion designer and creative director at Dior.
-
B.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
C.
Cini
Cini is an Italian surname associated with the family of American singer and actor Al Martino.
-
D.
Chory
Chory is the surname of Joanne Chory, a prominent American plant biologist known for her pioneering work in plant genetics and hormone signaling.
-
E.
Cia-Cia
Cia-Cia is an Austronesian language spoken by the Cia-Cia people of Buton Island in Indonesia, known for its attempted adoption of the Korean Hangul script.
- 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: Ciri Triple: [The Witcher, notableCharacter, Ciri]
Generated description
Ciri is a central character in The Witcher series, a princess of Cintra with Elder Blood who becomes Geralt of Rivia’s adopted daughter and a powerful, dimension-traveling warrior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ciri Target entity description: Ciri is a central character in The Witcher series, a princess of Cintra with Elder Blood who becomes Geralt of Rivia’s adopted daughter and a powerful, dimension-traveling warrior.
-
A.
Chiuri
Chiuri is an Italian surname most prominently associated with Maria Grazia Chiuri, the influential fashion designer and creative director at Dior.
-
B.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
C.
Cini
Cini is an Italian surname associated with the family of American singer and actor Al Martino.
-
D.
Chory
Chory is the surname of Joanne Chory, a prominent American plant biologist known for her pioneering work in plant genetics and hormone signaling.
-
E.
Cia-Cia
Cia-Cia is an Austronesian language spoken by the Cia-Cia people of Buton Island in Indonesia, known for its attempted adoption of the Korean Hangul script.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356658e881908131a3c60ed5499d |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00383a7180819092ea605aa8ef1672 |
completed | May 10, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00391645ac819092a06dc6813604fa |
completed | May 10, 2026, 7:51 a.m. |
Created at: April 10, 2026, 5:08 a.m.