Triple

T15977493
Position Surface form Disambiguated ID Type / Status
Subject Hannah Washington E387484 entity
Predicate motionCapturedBy P21510 FINISHED
Object Ella Lentini E1190582 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: Ella Lentini | Statement: [Hannah Washington, motionCapturedBy, Ella Lentini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ella Lentini
Context triple: [Hannah Washington, motionCapturedBy, Ella Lentini]
  • A. Ella Lentini chosen
    Ella Lentini is an American actress and filmmaker known for her work in independent films and television, as well as for providing voice performances in animated and audio projects.
  • B. Elena Conti
    Elena Conti is an Italian structural biologist renowned for her pioneering work on RNA metabolism and macromolecular complexes, recognized by major scientific honors in molecular biology.
  • C. Lucia Sciarra
    Lucia Sciarra is a mysterious and seductive widow entangled with the criminal organization SPECTRE in the James Bond film "Spectre."
  • D. Mara Lorenzio
    Mara Lorenzio is an actress best known for her role in Alejandro Jodorowsky’s surreal 1970 cult Western film "El Topo."
  • E. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46f19f48190a33647c711893564 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:54 a.m.