Triple

T18958696
Position Surface form Disambiguated ID Type / Status
Subject The Golddiggers E463851 entity
Predicate hasNotableMember P304 FINISHED
Object Patti Gribow
Patti Gribow is an American entertainer best known as a singer and performer with the television musical troupe The Golddiggers.
 E1362750 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: Patti Gribow | Statement: [The Golddiggers, hasNotableMember, Patti Gribow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patti Gribow
Context triple: [The Golddiggers, hasNotableMember, Patti Gribow]
  • A. Patty Dann
    Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
  • B. Patti Hansen
    Patti Hansen is an American model and actress who rose to prominence in the 1970s fashion world and later married Rolling Stones guitarist Keith Richards.
  • C. Vicki Sirotta
    Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • D. Pam Sheyne
    Pam Sheyne is a British songwriter and producer best known for co-writing Christina Aguilera’s hit single "Genie in a Bottle."
  • E. Patti Deutsch
    Patti Deutsch was an American comedic actress and voice artist known for her distinctive nasal voice and appearances on game shows and in animated films and television series.
  • 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: Patti Gribow
Triple: [The Golddiggers, hasNotableMember, Patti Gribow]
Generated description
Patti Gribow is an American entertainer best known as a singer and performer with the television musical troupe The Golddiggers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patti Gribow
Target entity description: Patti Gribow is an American entertainer best known as a singer and performer with the television musical troupe The Golddiggers.
  • A. Patty Dann
    Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
  • B. Patti Hansen
    Patti Hansen is an American model and actress who rose to prominence in the 1970s fashion world and later married Rolling Stones guitarist Keith Richards.
  • C. Vicki Sirotta
    Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • D. Pam Sheyne
    Pam Sheyne is a British songwriter and producer best known for co-writing Christina Aguilera’s hit single "Genie in a Bottle."
  • E. Patti Deutsch
    Patti Deutsch was an American comedic actress and voice artist known for her distinctive nasal voice and appearances on game shows and in animated films and television series.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f898ba708190b7e8d67f1f19e736 completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06f9fa29c08190beb5b755b92e91ef completed May 15, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a06fa6c6e5481909beb3a33517264f3 completed May 15, 2026, 10:50 a.m.
Created at: April 10, 2026, noon