Triple

T1728968
Position Surface form Disambiguated ID Type / Status
Subject Enid E37565 entity
Predicate hasVariantForm P457 FINISHED
Object Enide
Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
 E195290 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: Enide | Statement: [Enid, hasVariantForm, Enide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enide
Context triple: [Enid, hasVariantForm, Enide]
  • A. 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.
  • B. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • C. Neraudia
    Neraudia is a small genus of flowering plants in the hemp family Cannabaceae, native to Hawaii and known for its often rare and endemic shrub species.
  • 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. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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: Enide
Triple: [Enid, hasVariantForm, Enide]
Generated description
Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enide
Target entity description: Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
  • A. 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.
  • B. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • C. Neraudia
    Neraudia is a small genus of flowering plants in the hemp family Cannabaceae, native to Hawaii and known for its often rare and endemic shrub species.
  • 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. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637da7048190a06f2eec6cb87f70 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af6b034819087f6d168b9f5249a completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad979ce880819089daecbc8455ec84 completed March 8, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69ad9ba92a848190918a8748fb65348a completed March 8, 2026, 3:54 p.m.
Created at: March 4, 2026, 7:30 p.m.