Triple

T11557537
Position Surface form Disambiguated ID Type / Status
Subject Marcus Annaeus Mela E274053 entity
Predicate member of P10 FINISHED
Object Annaei family E932964 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: Annaei family | Statement: [Marcus Annaeus Mela, member of, Annaei family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annaei family
Context triple: [Marcus Annaeus Mela, member of, Annaei family]
  • A. Annaei family chosen
    The Annaei family was a prominent Roman family best known for producing the philosopher Seneca the Younger and other influential figures in politics and literature during the early Roman Empire.
  • B. Asaka family
    The Asaka family is a branch of the Japanese imperial family that held princely status in the modern era.
  • C. Nagoy family
    The Nagoy family was a prominent Russian noble lineage best known for producing Maria Nagaya, the seventh and last wife of Tsar Ivan the Terrible.
  • D. Kunis family
    The Kunis family is the celebrity family of actress Mila Kunis and actor Ashton Kutcher, known for their high-profile careers in film and television.
  • E. Daju family
    The Daju family is a group of closely related Eastern Sudanic languages spoken primarily in parts of Sudan and Chad.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a888e8481909386009b9603e4d3 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713a7e16481908faabcafe11daf37 completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.