Triple

T18288003
Position Surface form Disambiguated ID Type / Status
Subject Lionel Stander E438031 entity
Predicate spouse P13 FINISHED
Object Lee Stander
Lee Stander is known primarily as the spouse of American character actor Lionel Stander.
E1317882 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: Lee Stander | Statement: [Lionel Stander, spouse, Lee Stander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Stander
Context triple: [Lionel Stander, spouse, Lee Stander]
  • A. Adriaan Hendrik Stander
    Adriaan Hendrik Stander was a notable historical figure after whom the South African town of Standerton was named.
  • B. Roy Kinnear
    Roy Kinnear was a British character actor known for his comic roles in film and television, including notable performances in movies like "Willy Wonka & the Chocolate Factory" and various Richard Lester films.
  • C. Gordon Pinsent
    Gordon Pinsent was a celebrated Canadian actor, writer, and director known for his prolific film, television, and stage career spanning several decades.
  • D. Philip Stevenson
    Philip Stevenson was an American screenwriter and playwright active in the mid-20th century, known for his work in socially conscious and war-themed films.
  • E. Douglas Hodge
    Douglas Hodge is an English actor and director known for his acclaimed work on stage and screen, including prominent roles in both classical theatre and television comedies.
  • 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: Lee Stander
Triple: [Lionel Stander, spouse, Lee Stander]
Generated description
Lee Stander is known primarily as the spouse of American character actor Lionel Stander.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lee Stander
Target entity description: Lee Stander is known primarily as the spouse of American character actor Lionel Stander.
  • A. Adriaan Hendrik Stander
    Adriaan Hendrik Stander was a notable historical figure after whom the South African town of Standerton was named.
  • B. Roy Kinnear
    Roy Kinnear was a British character actor known for his comic roles in film and television, including notable performances in movies like "Willy Wonka & the Chocolate Factory" and various Richard Lester films.
  • C. Gordon Pinsent
    Gordon Pinsent was a celebrated Canadian actor, writer, and director known for his prolific film, television, and stage career spanning several decades.
  • D. Philip Stevenson
    Philip Stevenson was an American screenwriter and playwright active in the mid-20th century, known for his work in socially conscious and war-themed films.
  • E. Douglas Hodge
    Douglas Hodge is an English actor and director known for his acclaimed work on stage and screen, including prominent roles in both classical theatre and television comedies.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500fc49b88190bd5b562e0a959e9d completed April 19, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4b85b788190b0b7e22d8794d72e completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c5b71fc081909a5cd8063c96ef35 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c66211ec8190aca100bf4f63975d completed May 13, 2026, 12:31 a.m.
Created at: April 10, 2026, 10:35 a.m.