Triple
T13569518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spellmonger series |
E324120
|
entity |
| Predicate | hasProtagonistAlly |
P78618
|
FINISHED |
| Object |
Sir Cei
Sir Cei is a loyal and formidable knight who serves as a key ally to the protagonist in the Spellmonger fantasy series.
|
E1049000
|
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: Sir Cei | Statement: [Spellmonger series, hasProtagonistAlly, Sir Cei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Cei Context triple: [Spellmonger series, hasProtagonistAlly, Sir Cei]
-
A.
Agravain
Agravain is a knight of the Round Table in Arthurian legend, known as one of Gawain’s brothers and often portrayed as treacherous or antagonistic.
-
B.
Sir Gaheris
Sir Gaheris is a knight of the Round Table in Arthurian legend, a member of the Orkney clan and brother to Gawain, Gareth, and Agravain.
-
C.
Sir Gaerfyrddin
Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
-
D.
Sir Geraint
Sir Geraint is a knight of Arthurian legend, best known from medieval Welsh and English romances for his chivalric exploits and his marriage to Enid.
-
E.
Sir Bedivere
Sir Bedivere is a knight of Arthurian legend best known for returning King Arthur’s sword Excalibur to the Lady of the Lake after the Battle of Camlann.
- 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: Sir Cei Triple: [Spellmonger series, hasProtagonistAlly, Sir Cei]
Generated description
Sir Cei is a loyal and formidable knight who serves as a key ally to the protagonist in the Spellmonger fantasy series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir Cei Target entity description: Sir Cei is a loyal and formidable knight who serves as a key ally to the protagonist in the Spellmonger fantasy series.
-
A.
Agravain
Agravain is a knight of the Round Table in Arthurian legend, known as one of Gawain’s brothers and often portrayed as treacherous or antagonistic.
-
B.
Sir Gaheris
Sir Gaheris is a knight of the Round Table in Arthurian legend, a member of the Orkney clan and brother to Gawain, Gareth, and Agravain.
-
C.
Sir Gaerfyrddin
Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
-
D.
Sir Geraint
Sir Geraint is a knight of Arthurian legend, best known from medieval Welsh and English romances for his chivalric exploits and his marriage to Enid.
-
E.
Sir Bedivere
Sir Bedivere is a knight of Arthurian legend best known for returning King Arthur’s sword Excalibur to the Lady of the Lake after the Battle of Camlann.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe99ddc08190a8d79107c8e176fa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb61a40819099a62f65a68dff7b |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77640b5308190aaa50e8d5d871832 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7792110e48190a29b6e89c6ebcc03 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:48 p.m.