Triple

T1800870
Position Surface form Disambiguated ID Type / Status
Subject Klaus Heissler E39714 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Francine Smith E158438 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: Francine Smith | Statement: [Klaus Heissler, hasRelationshipWith, Francine Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francine Smith
Context triple: [Klaus Heissler, hasRelationshipWith, Francine Smith]
  • A. Francine Smith chosen
    Francine Smith is a central character on the animated television series "American Dad!", known as Stan Smith’s quirky, often unpredictable wife with a darkly comedic past.
  • B. Renée Felice Smith
    Renée Felice Smith is an American actress best known for her longtime role as intelligence analyst Nell Jones on the television series NCIS: Los Angeles.
  • C. Sherry Smith
    Sherry Smith was an early 20th-century Major League Baseball left-handed pitcher known for his strong performances in several World Series appearances.
  • D. Rose Smith
    Rose Smith is a central daughter in the Smith family and a romantic lead in the classic 1944 MGM musical film "Meet Me in St. Louis."
  • E. Lorraine Miller
    Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656ad5d4819090e677ad137b0cd1 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb65e6d588190ad1a33a92785fd91 completed March 10, 2026, 6:12 a.m.
Created at: March 4, 2026, 7:32 p.m.