Triple

T8494188
Position Surface form Disambiguated ID Type / Status
Subject City E201052 entity
Predicate mainCharacter P1183 FINISHED
Object Jerome Webster
Jerome Webster is the protagonist of the 1938 film "City," around whom the story’s central conflicts and developments revolve.
 E737224 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: Jerome Webster | Statement: [City, mainCharacter, Jerome Webster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jerome Webster
Context triple: [City, mainCharacter, Jerome Webster]
  • A. Jerome Robinson
    Jerome Robinson is a fictional police officer who serves as the central protagonist in the crime novel "End of Watch" by Stephen King.
  • B. J. J. Webster
    J. J. Webster was an architect and engineer known for his work on major early 20th-century British sports and exhibition venues.
  • C. Jerome Gary
    Jerome Gary is a film producer best known for his work on the influential 1977 bodybuilding documentary "Pumping Iron."
  • D. Jerome Jackson
    Jerome Jackson was a film producer active during the silent and early sound era, known for his work on notable Hollywood productions.
  • E. Jerome Jackson
    Jerome Jackson is a singer best known as a member of the soul and R&B group The Main Ingredient.
  • 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: Jerome Webster
Triple: [City, mainCharacter, Jerome Webster]
Generated description
Jerome Webster is the protagonist of the 1938 film "City," around whom the story’s central conflicts and developments revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jerome Webster
Target entity description: Jerome Webster is the protagonist of the 1938 film "City," around whom the story’s central conflicts and developments revolve.
  • A. Jerome Robinson
    Jerome Robinson is a fictional police officer who serves as the central protagonist in the crime novel "End of Watch" by Stephen King.
  • B. J. J. Webster
    J. J. Webster was an architect and engineer known for his work on major early 20th-century British sports and exhibition venues.
  • C. Jerome Gary
    Jerome Gary is a film producer best known for his work on the influential 1977 bodybuilding documentary "Pumping Iron."
  • D. Jerome Jackson
    Jerome Jackson was a film producer active during the silent and early sound era, known for his work on notable Hollywood productions.
  • E. Jerome Jackson
    Jerome Jackson is a singer best known as a member of the soul and R&B group The Main Ingredient.
  • 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.