Triple

T20440082
Position Surface form Disambiguated ID Type / Status
Subject Nicole Parker E501360 entity
Predicate hasFamilyName P18 FINISHED
Object Parker
Parker is a common English surname used by many notable individuals across entertainment, sports, politics, and other fields.
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: [Nicole Parker, hasFamilyName, Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parker
Context triple: [Nicole Parker, hasFamilyName, 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: [Nicole Parker, hasFamilyName, Parker]
Generated description
Parker is a common English surname used by many notable individuals across entertainment, sports, politics, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parker
Target entity description: Parker is a common English surname used by many notable individuals across entertainment, sports, politics, and other fields.
  • 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 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.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f20fe08190b9370b523a20153d completed April 20, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883fd1af88190a34aef615ec3a23e completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a0884d316148190b1fe155fc2dfbb7b completed May 16, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_6a088565cbcc81909b4bbc286d272ef6 completed May 16, 2026, 2:55 p.m.
Created at: April 16, 2026, 11:31 a.m.