Triple

T3017571
Position Surface form Disambiguated ID Type / Status
Subject Four Daughters E82373 entity
Predicate starring P1507 FINISHED
Object Jeffrey Lynn
Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
E391237 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: Jeffrey Lynn | Statement: [Four Daughters, starring, Jeffrey Lynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Lynn
Context triple: [Four Daughters, starring, Jeffrey Lynn]
  • A. Jeffrey Byron
    Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
  • B. David Jeffrey
    David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
  • C. John Shinn
    John Shinn was the founder of the Academy of Natural Sciences of Drexel University, one of the oldest natural history institutions in the United States.
  • D. Jeffrey Paley
    Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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: Jeffrey Lynn
Triple: [Four Daughters, starring, Jeffrey Lynn]
Generated description
Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeffrey Lynn
Target entity description: Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
  • A. Jeffrey Byron
    Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
  • B. David Jeffrey
    David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
  • C. John Shinn
    John Shinn was the founder of the Academy of Natural Sciences of Drexel University, one of the oldest natural history institutions in the United States.
  • D. Jeffrey Paley
    Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a90ea64819080620e60bbd6aa24 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fadc46e8819095ebcb23e1da9947 completed March 14, 2026, 6:06 a.m.
NEDg Description generation batch_69b4feee00288190972b79c2193839b5 completed March 14, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69b4ff3ec2248190bdf071f74fdbf176 completed March 14, 2026, 6:25 a.m.
Created at: March 8, 2026, 3 p.m.