Triple

T13848753
Position Surface form Disambiguated ID Type / Status
Subject Clémence Poésy E332878 entity
Predicate characterPortrayed P1507 FINISHED
Object Elise Wassermann E866539 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: Elise Wassermann | Statement: [Clémence Poésy, characterPortrayed, Elise Wassermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elise Wassermann
Context triple: [Clémence Poésy, characterPortrayed, Elise Wassermann]
  • A. Elise Wassermann chosen
    Elise Wassermann is a brilliant but emotionally detached French detective in the Anglo-French crime drama series "The Tunnel."
  • B. Elisabeth Vietz
    Elisabeth Vietz is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • C. Elisabeth Vietz
    Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
  • D. Therese Hoffmann
    Therese Hoffmann was the mother of Henriette von Schirach, a German woman known for her close association with the Nazi leadership through her marriage to Baldur von Schirach.
  • E. Elise Kraft
    Elise Kraft is the central FBI agent protagonist in the 1998 political thriller film "The Siege," navigating the moral and legal tensions of counterterrorism in New York City.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d20f548190a9f48e8c613abed4 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:14 p.m.