Triple

T11484333
Position Surface form Disambiguated ID Type / Status
Subject D. J. Opperman E272235 entity
Predicate familyName P18 FINISHED
Object Opperman
Opperman is a surname shared by various notable individuals across fields such as literature, politics, and sports.
 E928656 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: Opperman | Statement: [D. J. Opperman, familyName, Opperman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Opperman
Context triple: [D. J. Opperman, familyName, Opperman]
  • A. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • B. Laird
    Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
  • C. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • D. Yetman
    Yetman is a small rural town in northern New South Wales, Australia, known for its agricultural surroundings and location near the Macintyre River.
  • E. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • 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: Opperman
Triple: [D. J. Opperman, familyName, Opperman]
Generated description
Opperman is a surname shared by various notable individuals across fields such as literature, politics, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Opperman
Target entity description: Opperman is a surname shared by various notable individuals across fields such as literature, politics, and sports.
  • A. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • B. Laird
    Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
  • C. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • D. Yetman
    Yetman is a small rural town in northern New South Wales, Australia, known for its agricultural surroundings and location near the Macintyre River.
  • E. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1ea00c8190b42cdc13a6bc61c3 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e60451a89081909f9534fee6cb809f completed April 20, 2026, 10:47 a.m.
NEDg Description generation batch_69e610a5ea0481908169c58dc0831b76 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e6182b06f88190ab36d976ac989019 completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.