Triple

T17904224
Position Surface form Disambiguated ID Type / Status
Subject Liane Moriarty E447659 entity
Predicate givenName P17 FINISHED
Object Liane
Liane is a feminine given name used in various cultures, often considered a variant of Liana or Eliane.
 E1294807 NE FINISHED

How this triple was built (4 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: Liane | Statement: [Liane Moriarty, givenName, Liane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liane
Context triple: [Liane Moriarty, givenName, Liane]
  • 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. 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.
  • C. Banyon
    Banyon is an American television detective series from the early 1970s centered on a hard-boiled private investigator in 1930s Los Angeles.
  • D. Drymaea
    Drymaea was an ancient Greek city-state located in the region of Phocis, known from classical historical and geographical accounts.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liane
Triple: [Liane Moriarty, givenName, Liane]
Generated description
Liane is a feminine given name used in various cultures, often considered a variant of Liana or Eliane.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liane
Target entity description: Liane is a feminine given name used in various cultures, often considered a variant of Liana or Eliane.
  • 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. 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.
  • C. Banyon
    Banyon is an American television detective series from the early 1970s centered on a hard-boiled private investigator in 1930s Los Angeles.
  • D. Drymaea
    Drymaea was an ancient Greek city-state located in the region of Phocis, known from classical historical and geographical accounts.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b2bc9bc819096bf2d2f2a94910b completed May 12, 2026, 12:20 p.m.
NEDg Description generation batch_6a031c515ea88190975748bfa7bdba8f completed May 12, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a031cf81ef081909996636854e7a820 completed May 12, 2026, 12:28 p.m.
Created at: April 10, 2026, 10:19 a.m.