Triple

T16237687
Position Surface form Disambiguated ID Type / Status
Subject Babel Tower E394156 entity
Predicate hasCharacter P2308 FINISHED
Object Luk Lysgaard-Peacock
Luk Lysgaard-Peacock is a fictional character appearing in the work "Babel Tower."
E1202799 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: Luk Lysgaard-Peacock | Statement: [Babel Tower, hasCharacter, Luk Lysgaard-Peacock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luk Lysgaard-Peacock
Context triple: [Babel Tower, hasCharacter, Luk Lysgaard-Peacock]
  • A. Ainslie Pryor
    Ainslie Pryor was an American character actor active in the 1950s, known for supporting roles in film and television Westerns.
  • B. Jody Norris
    Jody Norris is the central female protagonist of the 1946 drama film "To Each His Own," whose life is shaped by a secret love affair and the painful decision to give up her child.
  • C. Jody Egginton
    Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
  • D. Kay Walsh
    Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
  • E. Jody Porter
    Jody Porter is an American guitarist best known as the lead guitarist for the power pop band Fountains of Wayne.
  • 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: Luk Lysgaard-Peacock
Triple: [Babel Tower, hasCharacter, Luk Lysgaard-Peacock]
Generated description
Luk Lysgaard-Peacock is a fictional character appearing in the work "Babel Tower."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luk Lysgaard-Peacock
Target entity description: Luk Lysgaard-Peacock is a fictional character appearing in the work "Babel Tower."
  • A. Ainslie Pryor
    Ainslie Pryor was an American character actor active in the 1950s, known for supporting roles in film and television Westerns.
  • B. Jody Norris
    Jody Norris is the central female protagonist of the 1946 drama film "To Each His Own," whose life is shaped by a secret love affair and the painful decision to give up her child.
  • C. Jody Egginton
    Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
  • D. Kay Walsh
    Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
  • E. Jody Porter
    Jody Porter is an American guitarist best known as the lead guitarist for the power pop band Fountains of Wayne.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455bb23881909c4cb4c1439d2bc5 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edaf76c8190acc01f58845e570a completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0011f7f3fc8190a3a3bf260b391e78 completed May 10, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0012e9913481908ee5ada2fce507f4 completed May 10, 2026, 5:08 a.m.
Created at: April 10, 2026, 5:04 a.m.