Triple

T18821379
Position Surface form Disambiguated ID Type / Status
Subject Liana Liberato E460271 entity
Predicate givenName P17 FINISHED
Object Liana NE NERFINISHED

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: Liana | Statement: [Liana Liberato, givenName, Liana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liana
Context triple: [Liana Liberato, givenName, Liana]
  • A. Liane
    The Liane is a coastal river in northern France that flows through the port city of Boulogne-sur-Mer into the English Channel.
  • B. Liane chosen
    Liane is a feminine given name used in various cultures, often considered a variant of Liana or Eliane.
  • C. Lilaea
    Lilaea was an ancient Greek city in the region of Phocis, known from classical sources and associated with the worship of the nymph Lilaia.
  • D. Figtree
    Figtree is a residential suburb of Wollongong in New South Wales, Australia, known for its shopping centre and proximity to both the Illawarra escarpment and the city centre.
  • E. Jaqueira
    Jaqueira is a neighborhood in Recife, Brazil, known for its large urban park and residential character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6ba90988190a93e1c2fa23b3d1d completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.