Triple

T16514295
Position Surface form Disambiguated ID Type / Status
Subject Christina Ricci E401141 entity
Predicate hasChild P369 FINISHED
Object Freddie Heerdegen E92070 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: Freddie Heerdegen | Statement: [Christina Ricci, hasChild, Freddie Heerdegen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddie Heerdegen
Context triple: [Christina Ricci, hasChild, Freddie Heerdegen]
  • A. Freddie Heerdegen chosen
    Freddie Heerdegen is the son of American actress Christina Ricci and her former husband James Heerdegen.
  • B. James Heerdegen
    James Heerdegen is an American camera technician and dolly grip best known to the public for his former marriage to actress Christina Ricci.
  • C. Freddie Bauer
    Freddie Bauer is a fictional character from the 1984 romantic comedy film "Splash," known as the carefree and humorous brother of the main character, Allen Bauer.
  • D. Freddie Oversteegen
    Freddie Oversteegen was a Dutch resistance fighter during World War II, known for her courageous sabotage and armed actions against Nazi occupiers as a teenager.
  • E. Paul Frenzeny
    Paul Frenzeny was a 19th-century French-born illustrator and artist known for his detailed engravings and book illustrations, particularly in American and British publications.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7a5ff88190984e2f2bc2fd17cc completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a59eb48190901ba7907c09639d completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:14 a.m.