Triple

T12869657
Position Surface form Disambiguated ID Type / Status
Subject Liv Freundlich E307814 entity
Predicate givenName P17 FINISHED
Object Liv E243189 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: Liv | Statement: [Liv Freundlich, givenName, Liv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liv
Context triple: [Liv Freundlich, givenName, Liv]
  • A. Liv chosen
    Liv is a feminine given name, often used in Scandinavian countries and popularized internationally by actress Liv Tyler.
  • B. Liv Lo
    Liv Lo is a Taiwanese television host, fitness entrepreneur, and yoga instructor known for her work in wellness and as the wife of actor Henry Golding.
  • C. Lou
    Lou is a recurring Springfield police officer on the animated television series "The Simpsons," known as Chief Wiggum’s level-headed, deadpan partner.
  • D. Lou
    Lou is a central character in the Canadian romantic drama film "Take This Waltz," which explores themes of love, fidelity, and emotional restlessness.
  • E. Lou
    Lou is a common diminutive form of the given name Louise.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.