Triple

T10381334
Position Surface form Disambiguated ID Type / Status
Subject Gene Tierney E244646 entity
Predicate child P120 FINISHED
Object Christina Cassini E859608 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: Christina Cassini | Statement: [Gene Tierney, child, Christina Cassini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christina Cassini
Context triple: [Gene Tierney, child, Christina Cassini]
  • A. Maria Fortunata Maffei
    Maria Fortunata Maffei was the wife of renowned Italian neoclassical architect Giacomo Quarenghi.
  • B. Daria Cassini chosen
    Daria Cassini was the daughter of American actress Gene Tierney and fashion designer Oleg Cassini, known largely for her parents’ Hollywood and couture legacies.
  • C. Virginia Galilei
    Virginia Galilei was the daughter of the astronomer Galileo Galilei, known for her close relationship with him and her life as a cloistered nun in 17th-century Italy.
  • D. Biella Piazzo
    Biella Piazzo is the historic upper district of the city of Biella in northern Italy, known for its medieval architecture and panoramic views.
  • E. Caroline Herschel
    Caroline Herschel was a pioneering German-born British astronomer renowned for her discovery of several comets and for being one of the first women to receive recognition in the field of astronomy.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fba398b88190ae3223218bf53ca7 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:03 p.m.