Triple

T14120591
Position Surface form Disambiguated ID Type / Status
Subject Pat Carroll E339893 entity
Predicate name P16 FINISHED
Object Pat Carroll E339893 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: Pat Carroll | Statement: [Pat Carroll, name, Pat Carroll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Carroll
Context triple: [Pat Carroll, name, Pat Carroll]
  • A. Pat Carroll chosen
    Pat Carroll was an American actress and comedian best known for voicing the sea witch Ursula in Disney’s animated film "The Little Mermaid."
  • B. Pat Carroll
    Pat Carroll is a former American shooting guard best known for his prolific three-point shooting and standout collegiate career with Saint Joseph's University in the early 2000s.
  • C. Penny Carroll
    Penny Carroll is the witty and independent love interest played by Ginger Rogers opposite Fred Astaire in the 1936 musical film "Swing Time."
  • D. Gale Robbins
    Gale Robbins was an American actress and singer known for her supporting roles in 1940s–1950s Hollywood musicals and comedies.
  • E. Nancy Carroll
    Nancy Carroll was a popular American stage and film actress of the late silent and early sound era, known for her musical comedies and Academy Award–nominated performances in the 1920s and 1930s.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2801198481909f9151ca873bfc56 completed May 8, 2026, 12:02 a.m.
Created at: April 9, 2026, 10:22 p.m.