Triple

T19885498
Position Surface form Disambiguated ID Type / Status
Subject Lou Jacobi E477887 entity
Predicate name P16 FINISHED
Object Lou Jacobi E477887 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: Lou Jacobi | Statement: [Lou Jacobi, name, Lou Jacobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Jacobi
Context triple: [Lou Jacobi, name, Lou Jacobi]
  • A. Lou Jacobi chosen
    Lou Jacobi was a Canadian-born character actor known for his comedic roles in film, television, and theater, particularly in mid-20th-century Hollywood and Broadway productions.
  • B. Eric Lofgren
    Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
  • C. Dave McNally
    Dave McNally was a left-handed Major League Baseball pitcher best known for his success with the Baltimore Orioles in the late 1960s and early 1970s, including multiple World Series appearances and a landmark role in challenging the reserve clause.
  • D. Ron Torbert
    Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
  • E. Dan Rydell
    Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659093df081909d3be9c3caeb79ba completed April 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbcf6f7c8190901a78dfd4cf6b4d completed May 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 1:52 p.m.