Triple

T17444341
Position Surface form Disambiguated ID Type / Status
Subject Lin Oliver E424740 entity
Predicate coAuthor P398 FINISHED
Object Theo Baker
Theo Baker is an author known for collaborating with Lin Oliver on children’s and young adult literature.
E1279387 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: Theo Baker | Statement: [Lin Oliver, coAuthor, Theo Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo Baker
Context triple: [Lin Oliver, coAuthor, Theo Baker]
  • A. Ian Baker
    Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
  • B. Marcus Baker
    Marcus Baker was an American geographer and explorer known for his pioneering work in mapping and studying the Alaskan region.
  • C. Roy Battersby
    Roy Battersby is a British television and film director known for his work on socially conscious dramas and series such as "Between the Lines" and "Cracker."
  • D. John Baker
    John Baker was a British engineer best known for helping design the Morrison shelter, an indoor air-raid shelter used in the UK during World War II.
  • E. John Baker
    John Baker was a figure significant enough in Georgia’s early history that Baker County was named in his honor, likely for his contributions to the state or region.
  • 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: Theo Baker
Triple: [Lin Oliver, coAuthor, Theo Baker]
Generated description
Theo Baker is an author known for collaborating with Lin Oliver on children’s and young adult literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Theo Baker
Target entity description: Theo Baker is an author known for collaborating with Lin Oliver on children’s and young adult literature.
  • A. Ian Baker
    Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
  • B. Marcus Baker
    Marcus Baker was an American geographer and explorer known for his pioneering work in mapping and studying the Alaskan region.
  • C. Roy Battersby
    Roy Battersby is a British television and film director known for his work on socially conscious dramas and series such as "Between the Lines" and "Cracker."
  • D. John Baker
    John Baker was a figure significant enough in Georgia’s early history that Baker County was named in his honor, likely for his contributions to the state or region.
  • E. John Baker
    John Baker is a video game music composer best known for creating the funky, hip-hop–inspired soundtrack to the classic Sega Genesis game ToeJam & Earl.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffa2d84819086474649eba1065c completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a83d3588190af4ae281c35dfedd completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020bd0233081908913c8ec02b3f101 completed May 11, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_6a020c62d9dc8190b9a486b837012f4d completed May 11, 2026, 5:05 p.m.
Created at: April 10, 2026, 5:47 a.m.