Triple
T5455879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amadis |
E122475
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Ardan Canile
Ardan Canile is a fictional character appearing in the chivalric romance cycle centered on the knight-errant Amadis.
|
E521199
|
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: Ardan Canile | Statement: [Amadis, character, Ardan Canile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ardan Canile Context triple: [Amadis, character, Ardan Canile]
-
A.
Arman
Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
-
B.
Adric
Adric is a young, mathematically gifted alien companion of the Fourth and Fifth Doctors in the classic British science fiction series Doctor Who.
-
C.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
D.
Zaya
Zaya is a central human character in the fantasy film "Gods of Egypt," known for her devotion to Bek and her pivotal role in motivating the gods' struggle against Set.
-
E.
Davo
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
- 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: Ardan Canile Triple: [Amadis, character, Ardan Canile]
Generated description
Ardan Canile is a fictional character appearing in the chivalric romance cycle centered on the knight-errant Amadis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ardan Canile Target entity description: Ardan Canile is a fictional character appearing in the chivalric romance cycle centered on the knight-errant Amadis.
-
A.
Arman
Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
-
B.
Adric
Adric is a young, mathematically gifted alien companion of the Fourth and Fifth Doctors in the classic British science fiction series Doctor Who.
-
C.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
D.
Zaya
Zaya is a central human character in the fantasy film "Gods of Egypt," known for her devotion to Bek and her pivotal role in motivating the gods' struggle against Set.
-
E.
Davo
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91eeb7ac8190bf2e02f7946bf2bf |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41465c3c8190a58350f39d626e54 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf41efb7748190acefa796eb4e4bed |
completed | March 22, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf42654a108190b271f78616eea25a |
completed | March 22, 2026, 1:14 a.m. |
Created at: March 20, 2026, 2:08 p.m.