Triple

T7737245
Position Surface form Disambiguated ID Type / Status
Subject Connor Jessup E175413 entity
Predicate hasWorkedWith P9615 FINISHED
Object ABC
ABC is a major television network and media company known for broadcasting a wide range of popular series, news programs, and entertainment content.
E3937 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: ABC | Statement: [Connor Jessup, hasWorkedWith, ABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC
Context triple: [Connor Jessup, hasWorkedWith, ABC]
  • A. ABC
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • B. ABC
    ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
  • C. ABC
    ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
  • D. ABCO
    ABCO is the stock ticker symbol for The Advisory Board Company, a former publicly traded firm that provided research, technology, and consulting services to healthcare and education organizations.
  • E. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • 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: ABC
Triple: [Connor Jessup, hasWorkedWith, ABC]
Generated description
ABC is a major television network and media company known for broadcasting a wide range of popular series, news programs, and entertainment content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ABC
Target entity description: ABC is a major television network and media company known for broadcasting a wide range of popular series, news programs, and entertainment content.
  • A. ABC chosen
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • B. ABC
    ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
  • C. ABC
    ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
  • D. ABCO
    ABCO is the stock ticker symbol for The Advisory Board Company, a former publicly traded firm that provided research, technology, and consulting services to healthcare and education organizations.
  • E. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • F. None of above.

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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035a97688190bf93efeee2e365ec completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3958ac8190a48ba07bd8ea3251 completed March 29, 2026, 5:52 a.m.
NEDg Description generation batch_69c8beb918488190935a1a78109e2073 completed March 29, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf231db8819091da104ba1b47665 completed March 29, 2026, 5:56 a.m.
Created at: March 27, 2026, 4:07 p.m.