Triple

T10740086
Position Surface form Disambiguated ID Type / Status
Subject Lili Damita E253299 entity
Predicate givenName P17 FINISHED
Object Liliane E544076 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: Liliane | Statement: [Lili Damita, givenName, Liliane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liliane
Context triple: [Lili Damita, givenName, Liliane]
  • A. Liliane chosen
    Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
  • B. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • C. Odile
    Odile is the shy, enigmatic young woman who becomes entangled with two small-time crooks in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • D. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • E. Viviane
    Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71043106c819091939950f532eda5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:14 p.m.