Triple

T21398968
Position Surface form Disambiguated ID Type / Status
Subject Lily Munster E527860 entity
Predicate creator P184 FINISHED
Object Ed Haas
Ed Haas is a creator best known for originating the character Lily Munster from the classic television series "The Munsters."
 E1482728 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: Ed Haas | Statement: [Lily Munster, creator, Ed Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ed Haas
Context triple: [Lily Munster, creator, Ed Haas]
  • A. Bruce Hasselberg
    Bruce Hasselberg is an American figure best known as the first husband of actress Loni Anderson.
  • B. Greg Malban
    Greg Malban is best known as the husband of the late American radio and television personality Eleanor Mondale.
  • C. Andy Hurst
    Andy Hurst is a screenwriter and filmmaker known for his work on the erotic thriller sequel "Wild Things 2."
  • D. Dwight Hauser
    Dwight Hauser was an American screenwriter and film producer known for his work on mid-20th-century family and adventure films, including several Disney nature and animal features.
  • E. Stan Lathan
    Stan Lathan is an American television and film director and producer known for his influential work in comedy and urban-themed programming, including directing numerous specials for comedians like Dave Chappelle.
  • 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: Ed Haas
Triple: [Lily Munster, creator, Ed Haas]
Generated description
Ed Haas is a creator best known for originating the character Lily Munster from the classic television series "The Munsters."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ed Haas
Target entity description: Ed Haas is a creator best known for originating the character Lily Munster from the classic television series "The Munsters."
  • A. Bruce Hasselberg
    Bruce Hasselberg is an American figure best known as the first husband of actress Loni Anderson.
  • B. Greg Malban
    Greg Malban is best known as the husband of the late American radio and television personality Eleanor Mondale.
  • C. Andy Hurst
    Andy Hurst is a screenwriter and filmmaker known for his work on the erotic thriller sequel "Wild Things 2."
  • D. Dwight Hauser
    Dwight Hauser was an American screenwriter and film producer known for his work on mid-20th-century family and adventure films, including several Disney nature and animal features.
  • E. Stan Lathan
    Stan Lathan is an American television and film director and producer known for his influential work in comedy and urban-themed programming, including directing numerous specials for comedians like Dave Chappelle.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cf3e808190847ad66d2e65f9f2 completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4f67ac8190bbb15f29a88b59c5 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:14 p.m.