Triple

T9422239
Position Surface form Disambiguated ID Type / Status
Subject Thout E227180 entity
Predicate alternativeTransliteration P5923 FINISHED
Object Tut E108625 NE FINISHED

How this triple was built (2 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: Tut | Statement: [Thout, alternativeTransliteration, Tut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tut
Context triple: [Thout, alternativeTransliteration, Tut]
  • A. Tutin
    Tutin is a small town and municipality in southwestern Serbia’s Sandžak region, known for its predominantly Bosniak population and mountainous surroundings.
  • B. Pharaoh
    Pharaoh is the title used for the ancient kings of Egypt, who ruled as powerful monarchs and were often regarded as divine or semi-divine figures.
  • C. Tutankhamun chosen
    Tutankhamun was a young 18th-dynasty Egyptian pharaoh whose nearly intact tomb, discovered in 1922, made him one of the most famous figures of ancient Egypt.
  • D. Pesedjet
    Pesedjet is the ancient Egyptian term for a divine group or council of gods, most famously referring to the nine major deities worshipped at Heliopolis.
  • E. Senenmut
    Senenmut was a prominent ancient Egyptian official and architect of the 18th Dynasty, best known for his close association with Pharaoh Hatshepsut and for designing some of her most famous monuments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107d290148190855b8d50eb80c591 completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:48 p.m.