Triple

T17327585
Position Surface form Disambiguated ID Type / Status
Subject A Special Providence E420725 entity
Predicate mainCharacter P1183 FINISHED
Object Robert Prentice NE ONDG

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: Robert Prentice | Statement: [A Special Providence, mainCharacter, Robert Prentice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Prentice
Context triple: [A Special Providence, mainCharacter, Robert Prentice]
  • A. George Prendergast
    George Prendergast was an Australian politician who briefly served as the 28th Premier of Victoria in the early 20th century.
  • B. Edward McPherson
    Edward McPherson was a 19th-century American politician and journalist best known for serving multiple terms in the U.S. House of Representatives and later as Clerk of the House.
  • C. William Dewhurst
    William Dewhurst was an actor known for his role in the early 20th-century film "Sabotage."
  • D. William Reeves
    William Reeves is a pioneering computer graphics and animation expert at Pixar, known for his influential work on early CGI films and development of key rendering techniques.
  • E. George Richards
    George Richards is the person after whom the oceanic feature known as Richards Deep is named, indicating his significance in the context of marine or geographic exploration or research.
  • 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: Robert Prentice
Triple: [A Special Providence, mainCharacter, Robert Prentice]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert Prentice
Target entity description: Robert Prentice is the naive, insecure young American soldier whose coming-of-age experiences in World War II form the emotional core of Robert Stone’s novel "A Special Providence."
  • A. George Prendergast
    George Prendergast was an Australian politician who briefly served as the 28th Premier of Victoria in the early 20th century.
  • B. Edward McPherson
    Edward McPherson was a 19th-century American politician and journalist best known for serving multiple terms in the U.S. House of Representatives and later as Clerk of the House.
  • C. William Dewhurst
    William Dewhurst was an actor known for his role in the early 20th-century film "Sabotage."
  • D. William Reeves
    William Reeves is a pioneering computer graphics and animation expert at Pixar, known for his influential work on early CGI films and development of key rendering techniques.
  • E. George Richards
    George Richards is the person after whom the oceanic feature known as Richards Deep is named, indicating his significance in the context of marine or geographic exploration or research.
  • F. None of above. chosen

Provenance (4 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954ecadc8190a6484ff0a207fe9b completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01964923248190b0c3548d90bc1dd9 in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:43 a.m.