Triple

T14594545
Position Surface form Disambiguated ID Type / Status
Subject Payday E342523 entity
Predicate editedBy P1954 FINISHED
Object George Appleby
George Appleby is a film editor known for his work on the movie "Payday."
E1109035 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: George Appleby | Statement: [Payday, editedBy, George Appleby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Appleby
Context triple: [Payday, editedBy, George Appleby]
  • A. Richard Bellingham
    Richard Bellingham was a 17th-century colonial magistrate and politician who served multiple terms as governor of the Massachusetts Bay Colony.
  • B. Henry Bolton
    Henry Bolton is a British politician best known for serving as leader of the UK Independence Party (UKIP) in 2017–2018.
  • C. Humphrey Searle
    Humphrey Searle was a 20th-century British composer known for his pioneering use of serialism and his influential orchestral and film scores.
  • D. William Ball
    William Ball is a relatively common personal name shared by multiple individuals across various fields, including politics, the arts, and sports.
  • E. George Wainborn
    George Wainborn was a prominent Vancouver city planner and park advocate after whom a waterfront park in the city is named.
  • 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: George Appleby
Triple: [Payday, editedBy, George Appleby]
Generated description
George Appleby is a film editor known for his work on the movie "Payday."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George Appleby
Target entity description: George Appleby is a film editor known for his work on the movie "Payday."
  • A. Richard Bellingham
    Richard Bellingham was a 17th-century colonial magistrate and politician who served multiple terms as governor of the Massachusetts Bay Colony.
  • B. Henry Bolton
    Henry Bolton is a British politician best known for serving as leader of the UK Independence Party (UKIP) in 2017–2018.
  • C. Humphrey Searle
    Humphrey Searle was a 20th-century British composer known for his pioneering use of serialism and his influential orchestral and film scores.
  • D. William Ball
    William Ball is a relatively common personal name shared by multiple individuals across various fields, including politics, the arts, and sports.
  • E. George Wainborn
    George Wainborn was a prominent Vancouver city planner and park advocate after whom a waterfront park in the city is named.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c60448819098cfab7dd292f0cd completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd988f734481908ca4960a69fc2b2a completed May 8, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_69fd9a30a73c8190877d5d0ada2e21ca completed May 8, 2026, 8:09 a.m.
Created at: April 10, 2026, 1:24 a.m.