Triple

T11571576
Position Surface form Disambiguated ID Type / Status
Subject The Cramps E274398 entity
Predicate hasMember P10 FINISHED
Object Pam Balam
Pam Balam is a musician best known as an early member of the American psychobilly/garage rock band The Cramps.
 E934073 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: Pam Balam | Statement: [The Cramps, hasMember, Pam Balam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pam Balam
Context triple: [The Cramps, hasMember, Pam Balam]
  • A. Maria Mauban
    Maria Mauban was a French actress known for her roles in European cinema of the 1940s and 1950s, including notable performances in Italian neorealist and French films.
  • B. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • C. Joya Tillem
    Joya Tillem is an American physician best known as the wife of actor and filmmaker Jon Favreau.
  • D. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • E. Thony De La Rosa
    Thony De La Rosa is the resourceful Cambodian-Filipino doctor and undocumented immigrant protagonist of the crime drama series "The Cleaning Lady."
  • 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: Pam Balam
Triple: [The Cramps, hasMember, Pam Balam]
Generated description
Pam Balam is a musician best known as an early member of the American psychobilly/garage rock band The Cramps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pam Balam
Target entity description: Pam Balam is a musician best known as an early member of the American psychobilly/garage rock band The Cramps.
  • A. Maria Mauban
    Maria Mauban was a French actress known for her roles in European cinema of the 1940s and 1950s, including notable performances in Italian neorealist and French films.
  • B. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • C. Joya Tillem
    Joya Tillem is an American physician best known as the wife of actor and filmmaker Jon Favreau.
  • D. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • E. Thony De La Rosa
    Thony De La Rosa is the resourceful Cambodian-Filipino doctor and undocumented immigrant protagonist of the crime drama series "The Cleaning Lady."
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8eface48190a2ed3275191b01ea completed April 21, 2026, 3:03 a.m.
NEDg Description generation batch_69e6ef9631e48190aef47bba9ad611e8 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f94ac2d0819098a3024eaab908b5 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:38 p.m.