Triple

T16716812
Position Surface form Disambiguated ID Type / Status
Subject Moore School Lectures on computing E406244 entity
Predicate hasNotableLecturer P21690 FINISHED
Object Irving Reed
Irving Reed was an American mathematician and electrical engineer best known for co-inventing Reed–Solomon error-correcting codes, which became fundamental in digital communications and data storage.
E1230886 NE FINISHED

How this triple was built (4 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: Irving Reed | Statement: [Moore School Lectures on computing, hasNotableLecturer, Irving Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irving Reed
Context triple: [Moore School Lectures on computing, hasNotableLecturer, Irving Reed]
  • A. Reed Howard
    Reed Howard is an American golfer and the son of filmmaker and actor Ron Howard.
  • B. Reed Howard
    Reed Howard is an American actor and filmmaker, and the son of director Ron Howard.
  • C. Don Reed
    Don Reed is a musician known for contributing as a featured artist on the country album "Tomorrow’s Sounds Today."
  • D. Reed Bower
    Reed Bower is one of the small islands located within Loch Leven in Scotland.
  • E. Perry Johnson
    Perry Johnson is an American businessman and political figure who ran a long-shot campaign for the 2024 Republican presidential nomination.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Irving Reed
Triple: [Moore School Lectures on computing, hasNotableLecturer, Irving Reed]
Generated description
Irving Reed was an American mathematician and electrical engineer best known for co-inventing Reed–Solomon error-correcting codes, which became fundamental in digital communications and data storage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Irving Reed
Target entity description: Irving Reed was an American mathematician and electrical engineer best known for co-inventing Reed–Solomon error-correcting codes, which became fundamental in digital communications and data storage.
  • A. Reed Howard
    Reed Howard is an American golfer and the son of filmmaker and actor Ron Howard.
  • B. Reed Howard
    Reed Howard is an American actor and filmmaker, and the son of director Ron Howard.
  • C. Don Reed
    Don Reed is a musician known for contributing as a featured artist on the country album "Tomorrow’s Sounds Today."
  • D. Reed Bower
    Reed Bower is one of the small islands located within Loch Leven in Scotland.
  • E. Perry Johnson
    Perry Johnson is an American businessman and political figure who ran a long-shot campaign for the 2024 Republican presidential nomination.
  • F. None of above. chosen

Provenance (5 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38656b66081909f2c2a8971c45aee completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3da12881909296926edde5b723 completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a009e5990ac81909d2a990f8101e4bc completed May 10, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a009ef7d13081908ea758cd2cc11995 completed May 10, 2026, 3:06 p.m.
Created at: April 10, 2026, 5:20 a.m.