Triple

T2101294
Position Surface form Disambiguated ID Type / Status
Subject Visigothic Kingdom E37097 entity
Predicate notableRuler P22 FINISHED
Object Sisebut
Sisebut was an early 7th-century king of the Visigoths known for his military campaigns against the Byzantines in Hispania and his promotion of Christianity, including forced conversions of Jews.
E233967 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: Sisebut | Statement: [Visigothic Kingdom, notableRuler, Sisebut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisebut
Context triple: [Visigothic Kingdom, notableRuler, Sisebut]
  • A. Sis
    Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
  • B. Tisiway
    Tisiway is an alternative name for the Siwi language spoken by the Siwi (Siwa Oasis) Berber community in Egypt.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Sista
    Sista was a 1990s American R&B girl group best known for launching the early career of rapper and producer Missy Elliott.
  • E. Sibutu Sama
    Sibutu Sama is a regional variety of the Sama–Bajaw language cluster spoken primarily on Sibutu Island in the southern Philippines.
  • 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: Sisebut
Triple: [Visigothic Kingdom, notableRuler, Sisebut]
Generated description
Sisebut was an early 7th-century king of the Visigoths known for his military campaigns against the Byzantines in Hispania and his promotion of Christianity, including forced conversions of Jews.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sisebut
Target entity description: Sisebut was an early 7th-century king of the Visigoths known for his military campaigns against the Byzantines in Hispania and his promotion of Christianity, including forced conversions of Jews.
  • A. Sis
    Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
  • B. Tisiway
    Tisiway is an alternative name for the Siwi language spoken by the Siwi (Siwa Oasis) Berber community in Egypt.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Sista
    Sista was a 1990s American R&B girl group best known for launching the early career of rapper and producer Missy Elliott.
  • E. Sibutu Sama
    Sibutu Sama is a regional variety of the Sama–Bajaw language cluster spoken primarily on Sibutu Island in the southern Philippines.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabc83a8819091f786f21d33b5a6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3065f3588190bc483e07dda8cf71 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3106488c8190a044d843a10f531a completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31889bc0819092810ade1961d10e completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.