Triple

T4311051
Position Surface form Disambiguated ID Type / Status
Subject Judgment of Paris E94074 entity
Predicate associatedWith P37 FINISHED
Object Trojan cycle E85748 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: Trojan cycle | Statement: [Judgment of Paris, associatedWith, Trojan cycle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trojan cycle
Context triple: [Judgment of Paris, associatedWith, Trojan cycle]
  • A. Trojan cycle chosen
    The Trojan cycle is a collection of ancient Greek epic poems that narrate the full saga of the Trojan War and its aftermath beyond what is told in Homer’s Iliad and Odyssey.
  • B. Trojan Horse
    The Trojan Horse is a legendary deceptive wooden structure used by the Greeks to infiltrate and ultimately conquer the city of Troy in ancient Greek mythology.
  • C. Trojan
    Trojan is the athletics nickname and mascot representing the sports teams of Trinidad State College.
  • D. Trojans
    The Trojans are the athletic teams representing the University of Southern California in collegiate sports.
  • E. Trojanow
    Trojanow is a surname most notably borne by Ilija Trojanow, a Bulgarian–German writer, translator, and publisher known for his works on migration, globalization, and cultural encounters.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d6cba08190a9440cee7b9dc40d completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75cd5c481908f76c510fec678f9 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:11 p.m.