Triple

T20742620
Position Surface form Disambiguated ID Type / Status
Subject High Windows E510480 entity
Predicate hasPoem P21160 FINISHED
Object Cut Grass
"Cut Grass" is a short, poignant poem by Philip Larkin that reflects on mortality and the fleeting nature of life through the image of freshly cut grass.
E1448853 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: Cut Grass | Statement: [High Windows, hasPoem, Cut Grass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cut Grass
Context triple: [High Windows, hasPoem, Cut Grass]
  • A. Mowing
    "Mowing" is a contemplative early poem by Robert Frost that reflects on manual labor, nature, and the quiet rewards of honest work.
  • B. Cuttin’ the Grass
    Cuttin’ the Grass is a bluegrass music recording by the Osborne Brothers, showcasing their signature high harmonies and progressive approach to the genre.
  • C. 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.
  • D. Grass
    "Grass" is a renowned poem by Carl Sandburg that uses the image of grass covering battlefields to reflect on war, memory, and collective forgetting.
  • E. Brown Grass
    "Brown Grass" is a soulful jazz track by Gregory Porter from his acclaimed album "Liquid Spirit."
  • 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: Cut Grass
Triple: [High Windows, hasPoem, Cut Grass]
Generated description
"Cut Grass" is a short, poignant poem by Philip Larkin that reflects on mortality and the fleeting nature of life through the image of freshly cut grass.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cut Grass
Target entity description: "Cut Grass" is a short, poignant poem by Philip Larkin that reflects on mortality and the fleeting nature of life through the image of freshly cut grass.
  • A. Mowing
    "Mowing" is a contemplative early poem by Robert Frost that reflects on manual labor, nature, and the quiet rewards of honest work.
  • B. Cuttin’ the Grass
    Cuttin’ the Grass is a bluegrass music recording by the Osborne Brothers, showcasing their signature high harmonies and progressive approach to the genre.
  • C. 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.
  • D. Grass
    "Grass" is a renowned poem by Carl Sandburg that uses the image of grass covering battlefields to reflect on war, memory, and collective forgetting.
  • E. Brown Grass
    "Brown Grass" is a soulful jazz track by Gregory Porter from his acclaimed album "Liquid Spirit."
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c210a2c08190bd767df3188bb401 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e83dd7408190b0737cf8fbfd7c11 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e9317cc0819096319c43c32a1e0e completed May 16, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08e9ebe3cc8190b79909df95dc0471 completed May 16, 2026, 10:04 p.m.
Created at: April 16, 2026, 12:33 p.m.