Triple

T15020073
Position Surface form Disambiguated ID Type / Status
Subject The Teacher E378059 entity
Predicate associatedWith P37 FINISHED
Object Silas E485267 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: [The Teacher, associatedWith, Silas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silas
Context triple: [The Teacher, associatedWith, Silas]
  • A. 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.
  • B. Silas chosen
    Silas is the aging, itinerant farmhand whose return and decline drive the emotional and moral core of Robert Frost’s narrative poem "The Death of the Hired Man."
  • C. Silas
    Silas is a surname most prominently associated with American basketball coach Stephen Silas.
  • D. Silas
    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.
  • E. Silas
    Silas is a mysterious, otherworldly guardian figure who protects and mentors the boy Nobody Owens in Neil Gaiman’s novel "The Graveyard Book."
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded76445988190984b57de66e00c4a completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5ae816c8190a36abb46bbdaad7b completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:56 a.m.