Triple

T16811103
Position Surface form Disambiguated ID Type / Status
Subject Teri Lee E408611 entity
Predicate employerInFiction P40735 FINISHED
Object Parker
Parker is a fictional organization or company that employs the character Teri Lee.
 E1201291 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: [Teri Lee, employerInFiction, Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parker
Context triple: [Teri Lee, employerInFiction, 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 a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • 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: [Teri Lee, employerInFiction, Parker]
Generated description
Parker is a fictional organization or company that employs the character Teri Lee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parker
Target entity description: Parker is a fictional organization or company that employs the character Teri Lee.
  • A. Parker chosen
    Parker is a company that operates as a subsidiary under the ownership of Sanford.
  • B. 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.
  • C. Parker
    Parker is a suburban town in Colorado located along the eastern edge of the Denver metropolitan area.
  • D. 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.
  • E. 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.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b290d8e4819082880444b42ffa43 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b33f21a48190b3178aa1241bb85a completed May 10, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3afb3708190ab7d78561a2e778c completed May 10, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:23 a.m.