Triple

T8024376
Position Surface form Disambiguated ID Type / Status
Subject Zoe E186815 entity
Predicate hasVariant P455 FINISHED
Object Zoë E186815 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: Zoë | Statement: [Zoe, hasVariant, Zoë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoë
Context triple: [Zoe, hasVariant, Zoë]
  • A. Zoe chosen
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • B. Zoe
    "Zoe" is a 2018 science-fiction romantic drama film directed by Drake Doremus that explores love and relationships in a near-future world of advanced artificial intelligence and synthetic partners.
  • C. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • D. Zoe Fontaine
    Zoe Fontaine is a central character in the 1955 Western film "The Rawhide Years," known for her involvement in the story’s frontier drama and romantic intrigue.
  • E. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e90c7348190abc1013a312e4f1a completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56d41ec08190a19cb28e2e4b5bfe completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:21 p.m.