Triple

T8733652
Position Surface form Disambiguated ID Type / Status
Subject Ronin E207317 entity
Predicate character P662 FINISHED
Object Spence
Spence is a skilled and cautious former intelligence operative who serves as one of the professional mercenaries in the action-thriller film "Ronin."
 E753163 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: Spence | Statement: [Ronin, character, Spence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spence
Context triple: [Ronin, character, Spence]
  • A. Spence
    Spence is an Australian federal electoral division in South Australia, represented in the House of Representatives.
  • B. Spence
    Spence is a surname most notably associated with Michael Spence, the Nobel Prize–winning economist known for his work on signaling in markets.
  • C. Spence
    Spence is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • D. Spencer
    Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
  • E. Spencer
    Spencer is a 2021 biographical psychological drama film depicting Princess Diana during a tense Christmas holiday with the British royal family, starring Kristen Stewart in the lead role.
  • 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: Spence
Triple: [Ronin, character, Spence]
Generated description
Spence is a skilled and cautious former intelligence operative who serves as one of the professional mercenaries in the action-thriller film "Ronin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spence
Target entity description: Spence is a skilled and cautious former intelligence operative who serves as one of the professional mercenaries in the action-thriller film "Ronin."
  • A. Spence
    Spence is an Australian federal electoral division in South Australia, represented in the House of Representatives.
  • B. Spence
    Spence is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • C. Spence
    Spence is a surname most notably associated with Michael Spence, the Nobel Prize–winning economist known for his work on signaling in markets.
  • D. Spencer
    Spencer is a 2021 biographical psychological drama film depicting Princess Diana during a tense Christmas holiday with the British royal family, starring Kristen Stewart in the lead role.
  • E. Spencer
    Spencer is a small city located in Oklahoma County, Oklahoma, within the Oklahoma City metropolitan area.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2a26988190acfda17f232e610a completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf292d71ec819082095cb7b8b2d39c completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd4f50c8190bad328e82d299ae0 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.