Triple

T10091068
Position Surface form Disambiguated ID Type / Status
Subject The Munsters E215344 entity
Predicate leadActor P1507 FINISHED
Object Al Lewis
Al Lewis was an American character actor best known for playing Grandpa on the 1960s television sitcom "The Munsters."
 E840965 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: Al Lewis | Statement: [The Munsters, leadActor, Al Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al Lewis
Context triple: [The Munsters, leadActor, Al Lewis]
  • A. Al Lewis
    Al Lewis is a fictional aging vaudeville comedian who is one half of a long-feuding former comedy duo in the 1975 film "The Sunshine Boys."
  • B. Mel Lewis
    Mel Lewis was an influential American jazz drummer and bandleader best known for co-leading the Thad Jones/Mel Lewis Orchestra, a cornerstone of modern big band jazz.
  • C. Andy Lewis
    Andy Lewis was an American screenwriter best known for co-writing the acclaimed 1971 crime thriller film "Klute."
  • D. Andrew Lewis
    Andrew Lewis was an 18th-century American pioneer, surveyor, and military leader in the French and Indian War and the American Revolutionary War, noted for his role in the Battle of Point Pleasant.
  • E. Thomas Lewis
    Thomas Lewis was the husband of cosmetics entrepreneur Elizabeth Arden, a pioneering figure in the early 20th-century beauty industry.
  • 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: Al Lewis
Triple: [The Munsters, leadActor, Al Lewis]
Generated description
Al Lewis was an American character actor best known for playing Grandpa on the 1960s television sitcom "The Munsters."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al Lewis
Target entity description: Al Lewis was an American character actor best known for playing Grandpa on the 1960s television sitcom "The Munsters."
  • A. Al Lewis
    Al Lewis is a fictional aging vaudeville comedian who is one half of a long-feuding former comedy duo in the 1975 film "The Sunshine Boys."
  • B. Mel Lewis
    Mel Lewis was an influential American jazz drummer and bandleader best known for co-leading the Thad Jones/Mel Lewis Orchestra, a cornerstone of modern big band jazz.
  • C. Andy Lewis
    Andy Lewis was an American screenwriter best known for co-writing the acclaimed 1971 crime thriller film "Klute."
  • D. Andrew Lewis
    Andrew Lewis was an 18th-century American pioneer, surveyor, and military leader in the French and Indian War and the American Revolutionary War, noted for his role in the Battle of Point Pleasant.
  • E. Thomas Lewis
    Thomas Lewis was the husband of cosmetics entrepreneur Elizabeth Arden, a pioneering figure in the early 20th-century beauty industry.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05aa02081908fba02e7085c6d7c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6a587e0819093f38d5e69db43ec completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7901ea08190a48e984356bd3d71 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b8813f9c8190a85462efb7a0a517 completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:01 p.m.