Triple

T3933351
Position Surface form Disambiguated ID Type / Status
Subject Larry Daley E90847 entity
Predicate associatedWith P37 FINISHED
Object Jedediah E76508 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: Jedediah | Statement: [Larry Daley, associatedWith, Jedediah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jedediah
Context triple: [Larry Daley, associatedWith, Jedediah]
  • A. Jedediah chosen
    Jedediah is a miniature cowboy figure who comes to life and provides comic relief and adventurous chaos in the "Night at the Museum" film series.
  • B. Jedediah Leland
    Jedediah Leland is a key supporting character in the film "Citizen Kane," serving as Charles Foster Kane’s longtime friend and moral conscience who ultimately critiques Kane’s corruption and lost ideals.
  • C. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • D. Vin Tanner
    Vin Tanner is a laconic, skilled gunfighter and one of the seven hired protectors in the classic Western film "The Magnificent Seven" (1960).
  • E. Moses Maverick
    Moses Maverick was a 17th-century colonial settler and civic leader in Massachusetts, known as one of the early prominent inhabitants of Marblehead.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcab1808190bf653f29062cdddb completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52887d4a48190b51df3f51ff197c0 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:23 p.m.