Triple

T22014638
Position Surface form Disambiguated ID Type / Status
Subject The Point Men E543675 entity
Predicate castMember P1668 FINISHED
Object Guy Lankester
Guy Lankester is an actor known for his role in the film "The Point Men."
 E1514984 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: Guy Lankester | Statement: [The Point Men, castMember, Guy Lankester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guy Lankester
Context triple: [The Point Men, castMember, Guy Lankester]
  • A. Charles Lampkin
    Charles Lampkin was an American character actor and musician known for his work in film and television, including a prominent role on the late-1980s series "Frank's Place."
  • B. John La Touche
    John La Touche was an American lyricist and librettist known for his sophisticated, often witty contributions to mid-20th-century musical theater and opera.
  • C. John Ackroyd
    John Ackroyd was a British engineer best known for designing the Thrust2 jet-powered car that set the world land speed record in 1983.
  • D. Lionel Stevenson
    Lionel Stevenson was a literary scholar and critic known for his work on Victorian literature and the Brontë family.
  • E. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • 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: Guy Lankester
Triple: [The Point Men, castMember, Guy Lankester]
Generated description
Guy Lankester is an actor known for his role in the film "The Point Men."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guy Lankester
Target entity description: Guy Lankester is an actor known for his role in the film "The Point Men."
  • A. Charles Lampkin
    Charles Lampkin was an American character actor and musician known for his work in film and television, including a prominent role on the late-1980s series "Frank's Place."
  • B. John La Touche
    John La Touche was an American lyricist and librettist known for his sophisticated, often witty contributions to mid-20th-century musical theater and opera.
  • C. John Ackroyd
    John Ackroyd was a British engineer best known for designing the Thrust2 jet-powered car that set the world land speed record in 1983.
  • D. Lionel Stevenson
    Lionel Stevenson was a literary scholar and critic known for his work on Victorian literature and the Brontë family.
  • E. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b6216fc8190a6e2166799ce1b25 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c93d5708190aeb79bdf64ac1bf0 completed May 18, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d06cb0c819093c960f71861ede8 completed May 18, 2026, 2:44 a.m.
Created at: April 16, 2026, 8:22 p.m.