Triple

T9914394
Position Surface form Disambiguated ID Type / Status
Subject John Finnis E185830 entity
Predicate familyName P18 FINISHED
Object Finnis
Finnis is a surname most notably associated with John Finnis, an influential legal philosopher known for his work on natural law theory.
 E829700 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: Finnis | Statement: [John Finnis, familyName, Finnis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Finnis
Context triple: [John Finnis, familyName, Finnis]
  • A. Fergus
    Fergus is a historic small town in southwestern Ontario, Canada, known for its Scottish heritage and annual Scottish Festival and Highland Games.
  • B. Fergus
    Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
  • C. Fergus
    Fergus is the conflicted Irish Republican Army volunteer who serves as the central protagonist in the 1992 psychological thriller film "The Crying Game."
  • D. Fergus
    Fergus is a masculine given name of Gaelic origin, traditionally meaning "man of force" or "strong man."
  • E. Aegan
    Aegan is a 2008 Tamil action-comedy film starring Ajith Kumar, loosely inspired by the Bollywood movie Main Hoon Na.
  • 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: Finnis
Triple: [John Finnis, familyName, Finnis]
Generated description
Finnis is a surname most notably associated with John Finnis, an influential legal philosopher known for his work on natural law theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Finnis
Target entity description: Finnis is a surname most notably associated with John Finnis, an influential legal philosopher known for his work on natural law theory.
  • A. Fergus
    Fergus is a masculine given name of Gaelic origin, traditionally meaning "man of force" or "strong man."
  • B. Fergus
    Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
  • C. Fergus
    Fergus is the conflicted Irish Republican Army volunteer who serves as the central protagonist in the 1992 psychological thriller film "The Crying Game."
  • D. Fergus
    Fergus is a historic small town in southwestern Ontario, Canada, known for its Scottish heritage and annual Scottish Festival and Highland Games.
  • E. Aegan
    Aegan is a 2008 Tamil action-comedy film starring Ajith Kumar, loosely inspired by the Bollywood movie Main Hoon Na.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dd82edc8190b405a3969864af77 completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ed1f69c819099faa881a9a4368d completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212e3b864819092b8464f5a5ab696 completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:41 p.m.