Triple

T1728175
Position Surface form Disambiguated ID Type / Status
Subject Lydia E37545 entity
Predicate associatedWith P37 FINISHED
Object Silas E34825 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: Silas | Statement: [Lydia, associatedWith, Silas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silas
Context triple: [Lydia, associatedWith, Silas]
  • A. Silas chosen
    Silas is an early Christian leader and missionary companion of Paul, mentioned in the New Testament for his role in spreading the gospel and strengthening the early Church.
  • B. Silas
    Silas is a fanatical albino monk and key antagonist in Dan Brown’s novel "The Da Vinci Code," known for his violent devotion and self-flagellation.
  • C. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • D. Giles
    Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
  • E. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637c26988190ad5c400856684825 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af6b034819087f6d168b9f5249a completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.