Triple

T5830988
Position Surface form Disambiguated ID Type / Status
Subject Affonso Gonçalves E129343 entity
Predicate notableWork P4 FINISHED
Object Paterson E592799 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: Paterson | Statement: [Affonso Gonçalves, notableWork, Paterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paterson
Context triple: [Affonso Gonçalves, notableWork, Paterson]
  • A. Paterson chosen
    Paterson is a 2016 independent drama film that quietly follows a week in the life of a bus driver-poet in New Jersey, reflecting on routine, creativity, and everyday beauty.
  • B. Paterson
    Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
  • C. Paterson
    Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
  • D. Paterson, New Jersey
    Paterson, New Jersey is a historic industrial city in northern New Jersey known for its diverse immigrant communities, including a significant Dutch American presence.
  • E. Newburgh
    Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346ac31c8190bbd28444f75da875 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c31d3848190b8619263cf76e45e completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 3:54 p.m.