Triple
T3786745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dungeons & Dragons: Honor Among Thieves |
E85546
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Sofina
Sofina is a powerful Red Wizard and primary antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
|
E388295
|
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: Sofina | Statement: [Dungeons & Dragons: Honor Among Thieves, character, Sofina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofina Context triple: [Dungeons & Dragons: Honor Among Thieves, character, Sofina]
-
A.
Sovana
Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
-
B.
Sousel
Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
-
C.
Rafina
Rafina is a coastal port town in eastern Attica, Greece, serving as one of the main ferry gateways from the Athens area to the Aegean islands.
-
D.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
E.
Zinetula
Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
- 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: Sofina Triple: [Dungeons & Dragons: Honor Among Thieves, character, Sofina]
Generated description
Sofina is a powerful Red Wizard and primary antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofina Target entity description: Sofina is a powerful Red Wizard and primary antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
A.
Sovana
Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
-
B.
Sousel
Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
-
C.
Rafina
Rafina is a coastal port town in eastern Attica, Greece, serving as one of the main ferry gateways from the Athens area to the Aegean islands.
-
D.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
E.
Zinetula
Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42d2bc88190ab85529fcd1aa20a |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04ceea881909c3f0d1da9b538ae |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1730bbc8190a2f5f70ebc5a528a |
completed | March 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f2538eac81908a6c85ddab4e2356 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 9, 2026, 3:13 p.m.