Triple

T8494189
Position Surface form Disambiguated ID Type / Status
Subject City E201052 entity
Predicate mainCharacter P1183 FINISHED
Object Jenkins
Jenkins is a fictional character who serves as the main protagonist in the story "City."
 E737225 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: Jenkins | Statement: [City, mainCharacter, Jenkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jenkins
Context triple: [City, mainCharacter, Jenkins]
  • A. Jenkins
    Jenkins is a common English-language surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • B. Jenkins
    Jenkins is the enigmatic, scholarly caretaker of the Library in the fantasy-adventure TV series "The Librarians," known for his vast knowledge of magic and history.
  • C. Jenkins
    Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD) in software development.
  • D. Gerrit
    Gerrit is a masculine given name of Germanic origin, notably borne by American baseball pitcher Gerrit Cole.
  • E. CircleCI
    CircleCI is a cloud-based continuous integration and delivery platform that automates building, testing, and deploying software.
  • 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: Jenkins
Triple: [City, mainCharacter, Jenkins]
Generated description
Jenkins is a fictional character who serves as the main protagonist in the story "City."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jenkins
Target entity description: Jenkins is a fictional character who serves as the main protagonist in the story "City."
  • A. Jenkins
    Jenkins is the enigmatic, scholarly caretaker of the Library in the fantasy-adventure TV series "The Librarians," known for his vast knowledge of magic and history.
  • B. Jenkins
    Jenkins is a common English-language surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • C. Jenkins
    Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD) in software development.
  • D. Gerrit
    Gerrit is a masculine given name of Germanic origin, notably borne by American baseball pitcher Gerrit Cole.
  • E. CircleCI
    CircleCI is a cloud-based continuous integration and delivery platform that automates building, testing, and deploying software.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57c01f881908cb77c8c834ac08d completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a5c260c8190bc7012a04363d260 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3ca3be5c8190844e54805e9acaeb completed April 2, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69ce3d4e92e88190a90ba1567c569b00 completed April 2, 2026, 9:56 a.m.
Created at: March 30, 2026, 6:13 p.m.