Triple

T9430015
Position Surface form Disambiguated ID Type / Status
Subject Spyke E227349 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Flandis
Flandis is a fictional character connected to Spyke, likely appearing in the same narrative or media universe.
E799648 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: Flandis | Statement: [Spyke, associatedWithCharacter, Flandis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flandis
Context triple: [Spyke, associatedWithCharacter, Flandis]
  • A. Regardie
    Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
  • B. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • E. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • 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: Flandis
Triple: [Spyke, associatedWithCharacter, Flandis]
Generated description
Flandis is a fictional character connected to Spyke, likely appearing in the same narrative or media universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flandis
Target entity description: Flandis is a fictional character connected to Spyke, likely appearing in the same narrative or media universe.
  • A. Regardie
    Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
  • B. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • E. Fadden
    Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c94719c81909d7743a57c45e07f completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11038f7b88190bd6b895f5544c63e completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:49 p.m.