Triple

T1637191
Position Surface form Disambiguated ID Type / Status
Subject The Polar Express E35382 entity
Predicate starred P5563 FINISHED
Object Peter Scolari E166164 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: Peter Scolari | Statement: [The Polar Express, starred, Peter Scolari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Scolari
Context triple: [The Polar Express, starred, Peter Scolari]
  • A. Peter Scolari chosen
    Peter Scolari was an American actor best known for his comedic and character roles on television series such as "Bosom Buddies" and "Newhart."
  • B. Eduardo Ciannelli
    Eduardo Ciannelli was an Italian-American character actor and opera singer known for his intense screen presence and frequent portrayals of villains in classic Hollywood films.
  • C. Sergio Chiamparino
    Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
  • D. Fernando Donis
    Fernando Donis is a Mexican architect known for designing prominent landmark structures, including the iconic Dubai Frame.
  • E. Giovanni Savarese
    Giovanni Savarese is a Venezuelan former professional footballer and manager best known for his successful tenure as head coach in Major League Soccer.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a192d588190bbfa4693ed787c05 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58ddfdbc819096578412818fdfbf completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.