Triple

T14146413
Position Surface form Disambiguated ID Type / Status
Subject Behind the Sun E350560 entity
Predicate hasCharacter P2308 FINISHED
Object Tonho E939086 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: Tonho | Statement: [Behind the Sun, hasCharacter, Tonho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonho
Context triple: [Behind the Sun, hasCharacter, Tonho]
  • A. Tonho chosen
    Tonho is a Portuguese diminutive nickname, commonly used as an affectionate or informal form of given names like Antônio.
  • B. Montone
    Montone is a river in the Emilia-Romagna region of northern Italy.
  • C. Tondu
    Tondu is a village in Bridgend County Borough, South Wales, historically known for its coal mining and ironworks industries.
  • D. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • E. Gravia
    Gravia is a village in central Greece known for its mountainous surroundings and proximity to Mount Giona.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1d8c448190bd223258b28fecc9 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:54 a.m.