Triple

T9665734
Position Surface form Disambiguated ID Type / Status
Subject W. H. Davies E233698 entity
Predicate hasWork P6260 FINISHED
Object Foliage
"Foliage" is a poetry collection by Welsh poet W. H. Davies, reflecting his characteristic focus on nature, simplicity, and the lives of ordinary people.
 E814232 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: Foliage | Statement: [W. H. Davies, hasWork, Foliage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foliage
Context triple: [W. H. Davies, hasWork, Foliage]
  • A. Grass
    Grass is a 1925 silent documentary film that follows the arduous seasonal migration of the Bakhtiari tribe in Iran, co-directed by Merian C. Cooper and Ernest B. Schoedsack.
  • B. Ferns
    Ferns is a historic village in County Wexford, Ireland, known as an early medieval ecclesiastical center and former capital of the Kingdom of Leinster.
  • C. Flowers
    "Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
  • D. Flowers
    Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
  • E. Flowers
    Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
  • 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: Foliage
Triple: [W. H. Davies, hasWork, Foliage]
Generated description
"Foliage" is a poetry collection by Welsh poet W. H. Davies, reflecting his characteristic focus on nature, simplicity, and the lives of ordinary people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foliage
Target entity description: "Foliage" is a poetry collection by Welsh poet W. H. Davies, reflecting his characteristic focus on nature, simplicity, and the lives of ordinary people.
  • A. Grass
    Grass is a 1925 silent documentary film that follows the arduous seasonal migration of the Bakhtiari tribe in Iran, co-directed by Merian C. Cooper and Ernest B. Schoedsack.
  • B. Ferns
    Ferns is a historic village in County Wexford, Ireland, known as an early medieval ecclesiastical center and former capital of the Kingdom of Leinster.
  • C. Flowers
    "Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
  • D. Flowers
    Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
  • E. Flowers
    Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c38f65c8190a0ed20830249a0f1 completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a1c8b188190bcff470244b21640 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18b0929788190955f0da0eadb3210 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18ea5ffbc8190b336c98087838d7b completed April 4, 2026, 10:20 p.m.
Created at: March 30, 2026, 8:14 p.m.