Triple

T18694777
Position Surface form Disambiguated ID Type / Status
Subject Trojans E457088 entity
Predicate associatedWithObject P2830 FINISHED
Object Trojan Horse 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: Trojan Horse | Statement: [Trojans, associatedWithObject, Trojan Horse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trojan Horse
Context triple: [Trojans, associatedWithObject, Trojan Horse]
  • A. Trojan Horse chosen
    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.
  • B. Trojan
    Trojan is the athletics nickname and mascot representing the sports teams of Trinidad State College.
  • C. Trojan
    The Trojan is a warrior figure commonly used as a school and sports team mascot, symbolizing strength, bravery, and resilience.
  • D. Trojan
    Trojan refers to a member of the ancient people of Troy, a prominent city in Greek mythology and epic literature, especially the Iliad.
  • E. Trojan
    Trojan is the athletic mascot of Virginia State University, representing the school's teams with imagery inspired by the ancient Greek warriors of Troy.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e66a188190801fd95f9be26042 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.