Triple

T6920922
Position Surface form Disambiguated ID Type / Status
Subject Intimations E160181 entity
Predicate hasPart P35 FINISHED
Object “Peonies”
“Peonies” is a poem by William Wordsworth, often noted for its delicate reflection on beauty and transience.
E630054 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: “Peonies” | Statement: [Intimations, hasPart, “Peonies”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Peonies”
Context triple: [Intimations, hasPart, “Peonies”]
  • A. The Flower
    The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
  • B. “Passion Flower”
    “Passion Flower” is a jazz composition closely associated with alto saxophonist Johnny Hodges, showcasing his lyrical, expressive ballad style.
  • C. Lilacs
    "Lilacs" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that reflects her characteristic focus on intimate emotional experiences and Creole life.
  • D. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • E. Roses
    "Roses" is a popular 2003 hip hop and R&B single by André 3000 of OutKast, known for its sharp storytelling, theatrical production, and memorable music video.
  • 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: “Peonies”
Triple: [Intimations, hasPart, “Peonies”]
Generated description
“Peonies” is a poem by William Wordsworth, often noted for its delicate reflection on beauty and transience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Peonies”
Target entity description: “Peonies” is a poem by William Wordsworth, often noted for its delicate reflection on beauty and transience.
  • A. The Flower
    The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
  • B. “Passion Flower”
    “Passion Flower” is a jazz composition closely associated with alto saxophonist Johnny Hodges, showcasing his lyrical, expressive ballad style.
  • C. Lilacs
    "Lilacs" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that reflects her characteristic focus on intimate emotional experiences and Creole life.
  • D. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • E. Roses
    "Roses" is a popular 2003 hip hop and R&B single by André 3000 of OutKast, known for its sharp storytelling, theatrical production, and memorable music video.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fa452c8190b2bea2d47309c889 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751345edc8190ab0f34120a42571e completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c751abed548190ac2152acd3029d2d completed March 28, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c7558dd72081909af14d319ce01ff6 completed March 28, 2026, 4:14 a.m.
Created at: March 27, 2026, 2:26 p.m.