Triple

T5312151
Position Surface form Disambiguated ID Type / Status
Subject The Tale of Mr. Jeremy Fisher E119055 entity
Predicate mainCharacter P1183 FINISHED
Object Jeremy Fisher
Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
E510295 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: Jeremy Fisher | Statement: [The Tale of Mr. Jeremy Fisher, mainCharacter, Jeremy Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Fisher
Context triple: [The Tale of Mr. Jeremy Fisher, mainCharacter, Jeremy Fisher]
  • A. Matthew Skemp
    Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
  • B. Nate Fisher
    Nate Fisher is the emotionally conflicted eldest son in the Fisher family and a central figure in the HBO drama series "Six Feet Under," known for grappling with mortality, family duty, and personal fulfillment.
  • C. Jeremy Theobald
    Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
  • D. Justin Wilkes
    Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
  • E. Gavin Lewis
    Gavin Lewis is an American actor known for his roles in television series such as "Little Fires Everywhere" and other film and TV projects.
  • 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: Jeremy Fisher
Triple: [The Tale of Mr. Jeremy Fisher, mainCharacter, Jeremy Fisher]
Generated description
Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeremy Fisher
Target entity description: Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
  • A. Matthew Skemp
    Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
  • B. Nate Fisher
    Nate Fisher is the emotionally conflicted eldest son in the Fisher family and a central figure in the HBO drama series "Six Feet Under," known for grappling with mortality, family duty, and personal fulfillment.
  • C. Jeremy Theobald
    Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
  • D. Justin Wilkes
    Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
  • E. Gavin Lewis
    Gavin Lewis is an American actor known for his roles in television series such as "Little Fires Everywhere" and other film and TV projects.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8535a1ec819094b2c5d3cfc57f56 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1106ef9c8190811f7b70e784c962 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11a601c481908a8cb6ea2c04d6df completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf127799208190a47580ed7b9ad550 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:54 p.m.