Triple

T12374271
Position Surface form Disambiguated ID Type / Status
Subject The Grinder E295081 entity
Predicate character P662 FINISHED
Object Todd
Todd is a fictional character from the television series "The Grinder," known for his involvement in the show's comedic legal and family dynamics.
 E979341 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: Todd | Statement: [The Grinder, character, Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Todd
Context triple: [The Grinder, character, Todd]
  • A. Todd
    Todd is the maiden surname of Mary Todd Lincoln, the First Lady of the United States during Abraham Lincoln’s presidency.
  • B. Tim
    Tim is the first name of American actor, writer, and director Tim Blake Nelson, known for his roles in films like "O Brother, Where Art Thou?" and "The Ballad of Buster Scruggs."
  • C. Tim
    Tim is a common masculine given name used in many English-speaking countries, often as a short form of Timothy.
  • D. Tim
    Tim is one of the core student characters in "The Magic School Bus" series, known for participating in Ms. Frizzle’s adventurous, science-filled field trips.
  • E. Tim
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • 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: Todd
Triple: [The Grinder, character, Todd]
Generated description
Todd is a fictional character from the television series "The Grinder," known for his involvement in the show's comedic legal and family dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Todd
Target entity description: Todd is a fictional character from the television series "The Grinder," known for his involvement in the show's comedic legal and family dynamics.
  • A. Todd
    Todd is the maiden surname of Mary Todd Lincoln, the First Lady of the United States during Abraham Lincoln’s presidency.
  • B. Tim
    Tim is the first name of American actor, writer, and director Tim Blake Nelson, known for his roles in films like "O Brother, Where Art Thou?" and "The Ballad of Buster Scruggs."
  • C. Tim
    Tim is a common masculine given name used in many English-speaking countries, often as a short form of Timothy.
  • D. Tim
    Tim is one of the core student characters in "The Magic School Bus" series, known for participating in Ms. Frizzle’s adventurous, science-filled field trips.
  • E. Tim
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac1e82c8190abb46ca5799e6680 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62ef1cc4481909bc9fc768a9ef1f2 completed May 2, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f62f808b1481908f529decdbfc5be6 completed May 2, 2026, 5:08 p.m.
Created at: April 8, 2026, 9:54 p.m.