Triple

T7544580
Position Surface form Disambiguated ID Type / Status
Subject Simeon Gannett Reed E178365 entity
Predicate hasSpouse P13 FINISHED
Object Amanda Reed E89318 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: Amanda Reed | Statement: [Simeon Gannett Reed, hasSpouse, Amanda Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Reed
Context triple: [Simeon Gannett Reed, hasSpouse, Amanda Reed]
  • A. Amanda Reed chosen
    Amanda Reed was the benefactor whose bequest and vision led to the establishment of Reed College in Portland, Oregon.
  • B. Joan Taylor
    Joan Taylor was an American film and television actress best known for her roles in 1950s science fiction and Westerns.
  • C. Lana Lang
    Lana Lang is a longtime supporting character in the Superman franchise, best known as Clark Kent’s childhood friend and early love interest from Smallville.
  • D. Vivian Carter
    Vivian Carter was an American music entrepreneur and radio DJ best known as the co-founder of the influential independent label Vee-Jay Records, which helped popularize R&B and early rock and roll.
  • E. Gwen Cooper
    Gwen Cooper is a compassionate yet tough Welsh police officer who becomes a key member of the secret alien-hunting team in the British sci-fi series Torchwood.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.