Triple

T10514558
Position Surface form Disambiguated ID Type / Status
Subject Tom Franco E247998 entity
Predicate familyName P18 FINISHED
Object Franco E343435 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: Franco | Statement: [Tom Franco, familyName, Franco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franco
Context triple: [Tom Franco, familyName, Franco]
  • A. Franco chosen
    Franco is the given name of Franco Harris, the Hall of Fame NFL running back best known for the “Immaculate Reception” with the Pittsburgh Steelers.
  • B. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • C. Ferdinande
    Ferdinande is the given name of Archduchess Auguste Ferdinande of Austria, a 19th-century member of the Habsburg-Lorraine dynasty.
  • D. Benito Mussolini
    Benito Mussolini was the fascist dictator of Italy from the early 1920s until 1943, whose authoritarian rule and expansionist policies helped pave the way to World War II.
  • E. Romano Mussolini
    Romano Mussolini was an Italian jazz pianist and painter, known both for his musical career and for being the son of dictator Benito Mussolini.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cade0c81908fcbd54a90106bf9 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933e4ae048190be51a02c571fab8b completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:27 p.m.