Triple

T2824721
Position Surface form Disambiguated ID Type / Status
Subject George Inness E54892 entity
Predicate familyName P18 FINISHED
Object Inness
Inness is the surname of George Inness, a prominent 19th-century American landscape painter associated with the Tonalist movement.
 E300561 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: Inness | Statement: [George Inness, familyName, Inness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inness
Context triple: [George Inness, familyName, Inness]
  • A. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • B. Carinish
    Carinish is a small crofting village on the island of North Uist in Scotland’s Outer Hebrides, known for its historic sites and rural landscape.
  • C. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • D. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • E. Inman
    Inman is the introspective Confederate deserter and central protagonist of the film "Cold Mountain," portrayed by Jude Law as he journeys home through the ravages of the American Civil War.
  • 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: Inness
Triple: [George Inness, familyName, Inness]
Generated description
Inness is the surname of George Inness, a prominent 19th-century American landscape painter associated with the Tonalist movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inness
Target entity description: Inness is the surname of George Inness, a prominent 19th-century American landscape painter associated with the Tonalist movement.
  • A. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • B. Carinish
    Carinish is a small crofting village on the island of North Uist in Scotland’s Outer Hebrides, known for its historic sites and rural landscape.
  • C. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • D. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • E. Inman
    Inman is the introspective Confederate deserter and central protagonist of the film "Cold Mountain," portrayed by Jude Law as he journeys home through the ravages of the American Civil War.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde91487881909989c08bbf76f0da completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceaf9298819093eb24a8ff0b5e02 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf20b6a08190bdf91bed219d2653 completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf7e02648190889576d7a180a193 completed March 10, 2026, 7:59 a.m.
Created at: March 6, 2026, 9:59 p.m.