Triple

T9522236
Position Surface form Disambiguated ID Type / Status
Subject Parker Posey E229670 entity
Predicate familyName P18 FINISHED
Object Posey
Posey is the surname of American actress Parker Posey, known for her roles in independent films and cult classics.
 E803900 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: Posey | Statement: [Parker Posey, familyName, Posey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Posey
Context triple: [Parker Posey, familyName, Posey]
  • A. Pearce
    Pearce is a surname and given name of English origin, commonly considered a variant of "Pierce" and ultimately derived from the name "Peter."
  • B. Swoyer
    Swoyer is a surname associated with individuals such as Nancy Walker.
  • C. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Perri
    Perri is a 1957 Disney live-action/animated nature film directed by N. Paul Kenworthy and Ralph Wright, produced by James Algar, that follows the life of a young squirrel in the forest.
  • E. Jory
    Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
  • 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: Posey
Triple: [Parker Posey, familyName, Posey]
Generated description
Posey is the surname of American actress Parker Posey, known for her roles in independent films and cult classics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Posey
Target entity description: Posey is the surname of American actress Parker Posey, known for her roles in independent films and cult classics.
  • A. Pearce
    Pearce is a surname and given name of English origin, commonly considered a variant of "Pierce" and ultimately derived from the name "Peter."
  • B. Swoyer
    Swoyer is a surname associated with individuals such as Nancy Walker.
  • C. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Perri
    Perri is a 1957 Disney live-action/animated nature film directed by N. Paul Kenworthy and Ralph Wright, produced by James Algar, that follows the life of a young squirrel in the forest.
  • E. Jory
    Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989788e4819086c235bf37a56b04 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a5cd2d881908b27649b396c50a1 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13be79b1c8190a9110312ae25cf32 completed April 4, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69d13ca165b88190b4d629df0e079b3b completed April 4, 2026, 4:30 p.m.
Created at: March 30, 2026, 7:59 p.m.