Triple

T9801494
Position Surface form Disambiguated ID Type / Status
Subject Dr. Zoe Hart E237847 entity
Predicate givenName P17 FINISHED
Object Zoe 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: Zoe | Statement: [Dr. Zoe Hart, givenName, Zoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoe
Context triple: [Dr. Zoe Hart, givenName, Zoe]
  • A. 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.
  • B. Zoe chosen
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • C. Zoey
    Zoey is a fictional character from the television series "The West Wing," known as the youngest daughter of U.S. President Josiah Bartlet.
  • D. Zoe Barnes
    Zoe Barnes is an ambitious and morally flexible young journalist in the political drama series "House of Cards."
  • E. 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.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc53c3dc819084a4d8b72164a172 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.