Triple

T22068448
Position Surface form Disambiguated ID Type / Status
Subject John Lynch E545341 entity
Predicate notableWork P4 FINISHED
Object Cal
Cal is a 1983 Irish drama film, based on Bernard MacLaverty’s novel, that explores the life of a young Catholic man entangled with the IRA during the Troubles in Northern Ireland.
 E1517167 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: Cal | Statement: [John Lynch, notableWork, Cal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cal
Context triple: [John Lynch, notableWork, Cal]
  • A. Cal
    Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
  • B. Cal
    Cal is the given name of professional baseball pitcher Cal Quantrill.
  • C. Cal
    Cal is a masculine given name, often used as a short form of names like Calvin, Callum, or Caleb.
  • D. Cal
    Cal is the nickname and given name of Cal McNair, the American businessman and principal owner of the NFL’s Houston Texans.
  • E. Cal
    Cal is the first name of Cal Henderson, a British software engineer best known as the co-founder and CTO of Slack.
  • 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: Cal
Triple: [John Lynch, notableWork, Cal]
Generated description
Cal is a 1983 Irish drama film, based on Bernard MacLaverty’s novel, that explores the life of a young Catholic man entangled with the IRA during the Troubles in Northern Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cal
Target entity description: Cal is a 1983 Irish drama film, based on Bernard MacLaverty’s novel, that explores the life of a young Catholic man entangled with the IRA during the Troubles in Northern Ireland.
  • A. Cal
    Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
  • B. Cal
    Cal is the nickname and given name of Cal McNair, the American businessman and principal owner of the NFL’s Houston Texans.
  • C. Cal
    Cal is the first name of Cal Henderson, a British software engineer best known as the co-founder and CTO of Slack.
  • D. Cal
    Cal is the given name of professional baseball pitcher Cal Quantrill.
  • E. Cal
    Cal is a masculine given name, often used as a short form of names like Calvin, Callum, or Caleb.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12885fe04819092cdde142f91e147 completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b1a6dc8190a47e0988981f09ef completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a819c890481908303786efeef595c completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a826075988190a7148ded16f779c0 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:27 p.m.