Triple

T17120636
Position Surface form Disambiguated ID Type / Status
Subject Scanners E415454 entity
Predicate castMember P1668 FINISHED
Object Lawrence Dane
Lawrence Dane was a Canadian character actor known for his numerous film and television roles, particularly in genre and horror productions.
 E1250626 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: Lawrence Dane | Statement: [Scanners, castMember, Lawrence Dane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence Dane
Context triple: [Scanners, castMember, Lawrence Dane]
  • A. Lawrence Jordan
    Lawrence Jordan is a film editor known for his work on various feature films, including mainstream action and family movies.
  • B. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • C. Lawrence Smith
    Lawrence Smith is a songwriter best known for co-writing the track "Friends."
  • D. Lawrence Mark
    Lawrence Mark is an American film and television producer known for acclaimed movies such as "Jerry Maguire," "As Good as It Gets," and "Dreamgirls."
  • E. Lawrence Gordon
    Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
  • 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: Lawrence Dane
Triple: [Scanners, castMember, Lawrence Dane]
Generated description
Lawrence Dane was a Canadian character actor known for his numerous film and television roles, particularly in genre and horror productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence Dane
Target entity description: Lawrence Dane was a Canadian character actor known for his numerous film and television roles, particularly in genre and horror productions.
  • A. Lawrence Jordan
    Lawrence Jordan is a film editor known for his work on various feature films, including mainstream action and family movies.
  • B. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • C. Lawrence Smith
    Lawrence Smith is a songwriter best known for co-writing the track "Friends."
  • D. Lawrence Mark
    Lawrence Mark is an American film and television producer known for acclaimed movies such as "Jerry Maguire," "As Good as It Gets," and "Dreamgirls."
  • E. Lawrence Gordon
    Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8092b548190b45c1695be47edc2 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a1062fc8190b1c4e97f42cf3faa completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013ae388548190b09d2c81e1ab0d02 completed May 11, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a013b4df74c81908b3b99e276531e13 completed May 11, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:36 a.m.