Triple

T21480920
Position Surface form Disambiguated ID Type / Status
Subject Debbie E529988 entity
Predicate familyName P18 FINISHED
Object Parker
Parker is a common English surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and the arts.
E44427 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: Parker | Statement: [Debbie, familyName, Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parker
Context triple: [Debbie, familyName, Parker]
  • A. Parker
    Parker is a 2013 American crime thriller film starring Jason Statham as a professional thief who seeks revenge after being double-crossed by his crew.
  • B. Parker
    Parker is a suburban town in Colorado located along the eastern edge of the Denver metropolitan area.
  • C. Parker
    Parker is a central criminal antihero in the neo-noir crime film "The Way of the Gun," known for his ruthless pragmatism and involvement in a high-stakes kidnapping plot.
  • D. Parker
    Parker is the troubled, tattoo-obsessed protagonist of Flannery O’Connor’s short story “Parker’s Back,” whose spiritual and personal turmoil drive the narrative.
  • E. Parker
    Parker is the gruff, pragmatic chief engineer aboard the commercial starship Nostromo in the science fiction horror film "Alien."
  • 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: Parker
Triple: [Debbie, familyName, Parker]
Generated description
Parker is a common English surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parker
Target entity description: Parker is a common English surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and the arts.
  • A. Parker chosen
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • B. Parker
    Parker is a character associated with the IYS Insurance brand, likely featured in its marketing or promotional materials.
  • C. Parker
    Parker is a professional associated with Leverage Consulting & Associates, likely serving as a consultant or key team member within the firm.
  • D. Parker
    Parker is a company that operates as a subsidiary under the ownership of Sanford.
  • E. Parker
    Parker is a skilled, eccentric thief and infiltration specialist from the TV series "Leverage," known for her acrobatics, social awkwardness, and central role on the Leverage team.
  • F. None of above.

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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfff6dec8190ab480491c4a3f641 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d0cd3068819094392cc4b7c6d061 completed May 17, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09d1b4f4748190b5d4edfc298272e4 completed May 17, 2026, 2:33 p.m.
Created at: April 16, 2026, 6:20 p.m.