Triple

T14190287
Position Surface form Disambiguated ID Type / Status
Subject Nora Eddington E351693 entity
Predicate child P120 FINISHED
Object Rory Flynn E253301 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: Rory Flynn | Statement: [Nora Eddington, child, Rory Flynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rory Flynn
Context triple: [Nora Eddington, child, Rory Flynn]
  • A. Rory Flynn chosen
    Rory Flynn is the son of legendary Hollywood swashbuckling actor Errol Flynn.
  • B. Neil Flynn
    Neil Flynn is an American actor and comedian best known for his roles as the Janitor on the sitcom "Scrubs" and as Mike Heck on the sitcom "The Middle."
  • C. Jimmy Doherty
    Jimmy Doherty is a central firefighter character in the television drama series "Third Watch," known for his bravery, personal struggles, and complex relationships with fellow first responders.
  • D. Dessie Flynn
    Dessie Flynn was an American voice actor best known for providing character voices in early Walt Disney animated shorts.
  • E. Randy Monaghan
    Randy Monaghan is a fictional character from the 1942 drama film "Kings Row," which explores the hidden scandals and moral complexities of a small American town.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194543f081909cb11cf0881afa90 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.