Triple

T4902795
Position Surface form Disambiguated ID Type / Status
Subject Lauren Beukes E109840 entity
Predicate wrote P2831 FINISHED
Object Zoo City E478718 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: Zoo City | Statement: [Lauren Beukes, wrote, Zoo City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zoo City
Context triple: [Lauren Beukes, wrote, Zoo City]
  • A. Zoo City chosen
    Zoo City is a noir-infused urban fantasy novel by Lauren Beukes, set in an alternate Johannesburg where people magically manifest animal companions as a mark of their criminal guilt.
  • B. The Zoo
    "The Zoo" is a popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
  • C. The Zoo
    "The Zoo" is the raucous student section and fan base known for creating an intense home-field atmosphere at Arizona Stadium, home of the University of Arizona Wildcats football team.
  • D. El gran zoo
    El gran zoo is a celebrated poetry collection by Cuban writer Nicolás Guillén that uses the metaphor of a fantastical zoo to deliver sharp social and political satire.
  • E. We Bought a Zoo
    We Bought a Zoo is a 2011 family drama film, directed by Cameron Crowe and starring Matt Damon and Scarlett Johansson, about a widowed father who buys and renovates a struggling zoo as a fresh start for his family.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4f1fd4819092812504c3529cad completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be779c47348190bd8e19f87c2aa4c2 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:28 p.m.