Triple

T15237296
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand Peck E364160 entity
Predicate name P16 FINISHED
Object Ferdinand Peck E364160 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: Ferdinand Peck | Statement: [Ferdinand Peck, name, Ferdinand Peck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferdinand Peck
Context triple: [Ferdinand Peck, name, Ferdinand Peck]
  • A. Ferdinand Peck chosen
    Ferdinand Peck was a prominent Chicago businessman and philanthropist best known for promoting and financing the city’s Auditorium Building as a grand civic and cultural center.
  • B. Asa B. Fridley
    Asa B. Fridley was an early settler and influential local figure after whom the city of Fridley, Minnesota, was named.
  • C. Frank Tuttle
    Frank Tuttle was a film editor known for his work on early 20th-century cinema, including the classic film "Shanghai Express."
  • D. Frank Tuttle
    Frank Tuttle was an American film director best known for his work in early Hollywood cinema, including influential crime and noir films such as "This Gun for Hire."
  • E. Frank Hibbing
    Frank Hibbing was an early settler and prominent figure in Minnesota after whom the city of Hibbing was named.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007da7e988190925a9b67b8070bc7 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3f9d308190af5374f0362c62f5 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.