Triple

T17095133
Position Surface form Disambiguated ID Type / Status
Subject Carly Tenney E414826 entity
Predicate hasSiblingRelationshipWith P363 FINISHED
Object Rosanna Cabot E1204931 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: Rosanna Cabot | Statement: [Carly Tenney, hasSiblingRelationshipWith, Rosanna Cabot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosanna Cabot
Context triple: [Carly Tenney, hasSiblingRelationshipWith, Rosanna Cabot]
  • A. Rosanna Cabot chosen
    Rosanna Cabot is a fictional character from the long-running soap opera "As the World Turns," best known for being portrayed by actress Cady McClain.
  • B. Rosanna Norton
    Rosanna Norton is a costume designer best known for her work on the cult rock-horror film "Phantom of the Paradise."
  • C. Rosanna Cato
    Rosanna Cato was the first wife of William B. Travis, the famed commander at the Battle of the Alamo.
  • D. Rosanna Bradley
    Rosanna Bradley is the wife of English actor David Bradley, known for maintaining a largely private life outside her husband's public career.
  • E. Charlotte Cantilini
    Charlotte Cantilini is the sweet-natured but determined heroine of the romantic comedy film "Monster-in-Law," who struggles to win over her overbearing future mother-in-law.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482597e88190859b35b1c4aa8e84 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:35 a.m.