Triple

T13702422
Position Surface form Disambiguated ID Type / Status
Subject Pam Grier E328551 entity
Predicate shortName P43 FINISHED
Object Pam
Pam is the nickname of Pam Grier, an iconic American actress best known for her pioneering roles in 1970s blaxploitation films and later acclaimed performances in movies like "Jackie Brown."
E1056890 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 | Statement: [Pam Grier, shortName, Pam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam
Context triple: [Pam Grier, shortName, Pam]
  • A. Pam
    Pam is a character in the 2008 Tyler Perry drama film "The Family That Preys," which explores themes of family, class, and betrayal.
  • B. Pam
    Pam is one of the core child detectives in Enid Blyton’s Secret Seven series of mystery-adventure books.
  • C. Patty
    Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
  • D. Pam Rocks
    Pam Rocks is a small group of rocky islets in British Columbia’s Howe Sound, known as important haul-out sites for harbor seals and seabirds.
  • E. Pam Brady
    Pam Brady is an American television and film writer and producer best known for her work on "South Park" and various comedy projects.
  • 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
Triple: [Pam Grier, shortName, Pam]
Generated description
Pam is the nickname of Pam Grier, an iconic American actress best known for her pioneering roles in 1970s blaxploitation films and later acclaimed performances in movies like "Jackie Brown."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pam
Target entity description: Pam is the nickname of Pam Grier, an iconic American actress best known for her pioneering roles in 1970s blaxploitation films and later acclaimed performances in movies like "Jackie Brown."
  • A. Pam
    Pam is a character in the 2008 Tyler Perry drama film "The Family That Preys," which explores themes of family, class, and betrayal.
  • B. Pam
    Pam is one of the core child detectives in Enid Blyton’s Secret Seven series of mystery-adventure books.
  • C. Patty
    Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
  • D. Pam Rocks
    Pam Rocks is a small group of rocky islets in British Columbia’s Howe Sound, known as important haul-out sites for harbor seals and seabirds.
  • E. Pam Brady
    Pam Brady is an American television and film writer and producer best known for her work on "South Park" and various comedy projects.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d50f34c8190ac5b4e09ab57baa9 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:54 p.m.