Triple

T2350960
Position Surface form Disambiguated ID Type / Status
Subject Red Eye E47445 entity
Predicate castMember P1668 FINISHED
Object Robert Pine
Robert Pine is an American character actor best known for his role as Sgt. Joseph Getraer on the television series "CHiPs."
 E257857 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: Robert Pine | Statement: [Red Eye, castMember, Robert Pine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robert Pine
Context triple: [Red Eye, castMember, Robert Pine]
  • A. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • B. Robert Fairfield
    Robert Fairfield was a Canadian architect best known for designing the iconic Stratford Festival Theatre in Stratford, Ontario.
  • C. Roger de Kirkpatrick
    Roger de Kirkpatrick was a medieval Scottish nobleman and knight, remembered as a prominent member of Clan Kirkpatrick and associate of Robert the Bruce during the Wars of Scottish Independence.
  • D. James Fawcett
    James Fawcett was an architect best known for co-designing Melbourne’s iconic Flinders Street Station.
  • E. Robert Barker
    Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
  • 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 Pine
Triple: [Red Eye, castMember, Robert Pine]
Generated description
Robert Pine is an American character actor best known for his role as Sgt. Joseph Getraer on the television series "CHiPs."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robert Pine
Target entity description: Robert Pine is an American character actor best known for his role as Sgt. Joseph Getraer on the television series "CHiPs."
  • A. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • B. Robert Fairfield
    Robert Fairfield was a Canadian architect best known for designing the iconic Stratford Festival Theatre in Stratford, Ontario.
  • C. Roger de Kirkpatrick
    Roger de Kirkpatrick was a medieval Scottish nobleman and knight, remembered as a prominent member of Clan Kirkpatrick and associate of Robert the Bruce during the Wars of Scottish Independence.
  • D. James Fawcett
    James Fawcett was an architect best known for co-designing Melbourne’s iconic Flinders Street Station.
  • E. Robert Barker
    Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae962f769881909a7713880eaa9b84 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96b399608190bfa846c433612142 completed March 9, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae977e539c81909cef638cc61e5ec1 completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:54 p.m.