Triple

T13163964
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Boardman E312797 entity
Predicate notableWork P4 FINISHED
Object The Temptress E612726 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: The Temptress | Statement: [Eleanor Boardman, notableWork, The Temptress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Temptress
Context triple: [Eleanor Boardman, notableWork, The Temptress]
  • A. The Temptress chosen
    The Temptress is a 1926 silent romantic drama film starring Greta Garbo and directed by Fred Niblo, known for its tale of destructive passion and moral downfall.
  • B. the Tempter
    The Tempter is a name for the Devil that emphasizes his role in enticing humans into sin and moral wrongdoing.
  • C. The Lady of Pleasure
    The Lady of Pleasure is a Caroline-era comedy play by James Shirley that satirizes the excesses and moral corruption of the English aristocracy.
  • D. The Tempter’s Voice
    The Tempter’s Voice is a scholarly work by medievalist Eric Jager that examines the role of language, persuasion, and rhetoric in medieval literature and culture.
  • E. The Grand Seduction
    The Grand Seduction is a 2013 Canadian comedy film about a small fishing village’s elaborate scheme to charm a doctor into staying in their community.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0bf5a48190bf245dceee24b579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf6c9ec8190bc0097d62e57e52a completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:13 p.m.