Triple

T611073
Position Surface form Disambiguated ID Type / Status
Subject Lactantius E12098 entity
Predicate student P7251 FINISHED
Object Crispus E37305 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: Crispus | Statement: [Lactantius, student, Crispus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crispus
Context triple: [Lactantius, student, Crispus]
  • A. Crispus chosen
    Crispus was the eldest son of Roman emperor Constantine the Great, a prominent Caesar and military commander who was later executed under mysterious circumstances.
  • B. Julian Burnside
    Julian Burnside is an Australian barrister and human rights advocate renowned for his work defending refugees and speaking out on civil liberties and social justice.
  • C. James
    James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
  • D. Licinius
    Licinius was a Roman emperor of the early 4th century who ruled the eastern part of the empire and is best known for co-authoring the Edict of Milan, which granted religious tolerance to Christians.
  • E. Martin
    Martin is a minor but kind-hearted character in Ernest Hemingway's novella "The Old Man and the Sea," known for helping the old fisherman Santiago.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df7c088819082eb70de4f0f4fbf completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a533cc0c408190afc136a07b55a7a1 completed March 2, 2026, 6:53 a.m.
Created at: March 1, 2026, 7:35 p.m.