Triple

T17305849
Position Surface form Disambiguated ID Type / Status
Subject Martin Lawrence E420162 entity
Predicate notableWork P4 FINISHED
Object Martin
Martin is a 1990s American sitcom starring comedian Martin Lawrence as a wisecracking Detroit radio host navigating relationships, work, and everyday life.
E1014832 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: Martin | Statement: [Martin Lawrence, notableWork, Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin
Context triple: [Martin Lawrence, notableWork, Martin]
  • A. Martin
    Martin is the middle name of Henry Martin Tupper, an individual likely known in historical or biographical records.
  • B. Martin
    Martin is the given name of Klaus Martin Einstein, the son of physicist Hans Albert Einstein and grandson of Albert Einstein.
  • C. Martin
    Martin is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
  • D. Martin
    Martin is the middle name of Roswell Field, an American lawyer best known for his involvement in the Dred Scott case.
  • E. Martin
    Martin is a masculine given name of Latin origin, commonly used in many European languages.
  • 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: Martin
Triple: [Martin Lawrence, notableWork, Martin]
Generated description
Martin is a 1990s American sitcom starring comedian Martin Lawrence as a wisecracking Detroit radio host navigating relationships, work, and everyday life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin
Target entity description: Martin is a 1990s American sitcom starring comedian Martin Lawrence as a wisecracking Detroit radio host navigating relationships, work, and everyday life.
  • A. Martin chosen
    Martin is a 1990s American sitcom starring Martin Lawrence as a wisecracking Detroit radio DJ and later TV personality, known for its energetic humor and memorable supporting characters.
  • B. Martin
    Martin is a fictional character from the television comedy series "Blunt Talk."
  • C. Martin
    Martin is a key supporting character in the British comedy-drama series "Fleabag," known for his abrasive personality, inappropriate behavior, and tense relationship with the show's protagonist and her family.
  • D. Martin
    Martin is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
  • E. Martin
    Martin is a fictional character from the dark comedy film "Mini's First Time," involved in the movie’s twisted family and blackmail plot.
  • F. None of above.

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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c440c58819084792fcd6b7a7a79 completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018d9651a48190b8a465741bb5b549 completed May 11, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a018eb4aed881908bf0f6837f373d04 completed May 11, 2026, 8:09 a.m.
Created at: April 10, 2026, 5:43 a.m.