Triple

T19426956
Position Surface form Disambiguated ID Type / Status
Subject Everes E486002 entity
Predicate mentionedIn P831 FINISHED
Object Apollodorus NE NERFINISHED

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: Apollodorus | Statement: [Everes, mentionedIn, Apollodorus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollodorus
Context triple: [Everes, mentionedIn, Apollodorus]
  • A. Apollodorus of Phaleron
    Apollodorus of Phaleron was an Athenian follower of Socrates, remembered from Plato’s dialogues as a devoted but emotionally intense disciple of the philosopher.
  • B. Apollodorus of Athens chosen
    Apollodorus of Athens was a 2nd-century BCE Greek scholar and grammarian known for his influential mythographical and chronological works.
  • C. Apollodorus of Carystus
    Apollodorus of Carystus was an Athenian playwright of the New Comedy period, known for his influential and refined domestic comedies.
  • D. Athenodorus
    Athenodorus is an alternative name or title associated with the Palmyrene ruler Lucius Iulius Aurelius Septimius Vaballathus, linked to his royal or honorific styling in historical sources.
  • E. Aristodemus of Nysa
    Aristodemus of Nysa was an ancient Greek grammarian and scholar from the city of Nysa, known for his work on language and literary criticism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63219f27481909fe686209defc971 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.