Triple

T1123312
Position Surface form Disambiguated ID Type / Status
Subject Hecate E24660 entity
Predicate epithet P743 FINISHED
Object Enodia
Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
 E161019 NE FINISHED

How this triple was built (4 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: Enodia | Statement: [Hecate, epithet, Enodia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enodia
Context triple: [Hecate, epithet, Enodia]
  • A. Espheni
    The Espheni are a technologically advanced alien race that invades and occupies Earth as the primary antagonists in the science fiction television series "Falling Skies."
  • B. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • C. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • D. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Enodia
Triple: [Hecate, epithet, Enodia]
Generated description
Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enodia
Target entity description: Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
  • A. Espheni
    The Espheni are a technologically advanced alien race that invades and occupies Earth as the primary antagonists in the science fiction television series "Falling Skies."
  • B. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • C. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • D. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • F. None of above. chosen

Provenance (5 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbc09e708190b099d436d1f737eb completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace54f52988190b25c35271721c3ee completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace5db553c8190b0d09462411f3dcf completed March 8, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69ace647c04881908ab550505110c29b completed March 8, 2026, 3 a.m.
Created at: March 1, 2026, 7:44 p.m.