Triple

T16009187
Position Surface form Disambiguated ID Type / Status
Subject Sofina E388295 entity
Predicate serves P98 FINISHED
Object Szass Tam
Szass Tam is a powerful lich and the Zulkir of Necromancy in the Forgotten Realms setting of Dungeons & Dragons, known as a chief antagonist and ruler within the nation of Thay.
 E1189595 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: Szass Tam | Statement: [Sofina, serves, Szass Tam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Szass Tam
Context triple: [Sofina, serves, Szass Tam]
  • A. Tamási
    Tamási is a small town in Hungary known for its thermal baths and location within the Tolna County region.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • D. Tamás
    Tamás is a Hungarian masculine given name commonly used in Hungary and among Hungarian-speaking communities.
  • E. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • 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: Szass Tam
Triple: [Sofina, serves, Szass Tam]
Generated description
Szass Tam is a powerful lich and the Zulkir of Necromancy in the Forgotten Realms setting of Dungeons & Dragons, known as a chief antagonist and ruler within the nation of Thay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Szass Tam
Target entity description: Szass Tam is a powerful lich and the Zulkir of Necromancy in the Forgotten Realms setting of Dungeons & Dragons, known as a chief antagonist and ruler within the nation of Thay.
  • A. Tamási
    Tamási is a small town in Hungary known for its thermal baths and location within the Tolna County region.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • D. Tamás
    Tamás is a Hungarian masculine given name commonly used in Hungary and among Hungarian-speaking communities.
  • E. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828e9e708190aec0078913bf098a completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf24a9d8819083d7b11d71442da6 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd065cb948190b0ad7e89a12ce535 completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1a52de08190a7b283af83be1f42 completed May 10, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:55 a.m.