Triple

T3911877
Position Surface form Disambiguated ID Type / Status
Subject Spaceways E87339 entity
Predicate hasCastMember P2308 FINISHED
Object Andrew Osborn
Andrew Osborn is an actor known for his role in the British science-fiction film "Spaceways."
E398434 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: Andrew Osborn | Statement: [Spaceways, hasCastMember, Andrew Osborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Osborn
Context triple: [Spaceways, hasCastMember, Andrew Osborn]
  • A. Dan Osborn
    Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
  • B. Julian Osborn
    Julian Osborn is a key character in Nevil Shute’s post-apocalyptic novel "On the Beach," portrayed as a thoughtful and stoic Australian scientist confronting the inevitability of global nuclear fallout.
  • C. Paul Osborn
    Paul Osborn was an American screenwriter and playwright known for adapting major literary works for film, including classics such as "East of Eden" and "The Yearling."
  • D. William Osborne
    William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • E. Owen Moran
    Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
  • 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: Andrew Osborn
Triple: [Spaceways, hasCastMember, Andrew Osborn]
Generated description
Andrew Osborn is an actor known for his role in the British science-fiction film "Spaceways."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Osborn
Target entity description: Andrew Osborn is an actor known for his role in the British science-fiction film "Spaceways."
  • A. Dan Osborn
    Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
  • B. Julian Osborn
    Julian Osborn is a key character in Nevil Shute’s post-apocalyptic novel "On the Beach," portrayed as a thoughtful and stoic Australian scientist confronting the inevitability of global nuclear fallout.
  • C. Paul Osborn
    Paul Osborn was an American screenwriter and playwright known for adapting major literary works for film, including classics such as "East of Eden" and "The Yearling."
  • D. William Osborne
    William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • E. Owen Moran
    Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed35e2d081908b5d87c7630e7ffc completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb454c48190bf47d080f6cc24f0 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b5206dfd848190ae7aaa9997150934 completed March 14, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69b520ce6af481909b7824c2ec221331 completed March 14, 2026, 8:48 a.m.
Created at: March 9, 2026, 3:22 p.m.