Triple

T16287616
Position Surface form Disambiguated ID Type / Status
Subject Liquid Spirit E395429 entity
Predicate hasTrack P3284 FINISHED
Object Brown Grass
"Brown Grass" is a soulful jazz track by Gregory Porter from his acclaimed album "Liquid Spirit."
 E1203954 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: Brown Grass | Statement: [Liquid Spirit, hasTrack, Brown Grass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brown Grass
Context triple: [Liquid Spirit, hasTrack, Brown Grass]
  • 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. 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.
  • C. Grassy
    Grassy is a small coastal township on King Island in Tasmania, Australia, historically associated with mining and local fishing activities.
  • D. Wallagrass
    Wallagrass is a small rural town in Aroostook County, northern Maine, known for its forested landscape and outdoor recreation.
  • E. Spring Green
    Spring Green is a small village in south-central Wisconsin known for its scenic Wisconsin River setting and as the home of Frank Lloyd Wright’s Taliesin estate.
  • 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: Brown Grass
Triple: [Liquid Spirit, hasTrack, Brown Grass]
Generated description
"Brown Grass" is a soulful jazz track by Gregory Porter from his acclaimed album "Liquid Spirit."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brown Grass
Target entity description: "Brown Grass" is a soulful jazz track by Gregory Porter from his acclaimed album "Liquid Spirit."
  • A. 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.
  • B. 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.
  • C. Grassy
    Grassy is a small coastal township on King Island in Tasmania, Australia, historically associated with mining and local fishing activities.
  • D. Wallagrass
    Wallagrass is a small rural town in Aroostook County, northern Maine, known for its forested landscape and outdoor recreation.
  • E. Spring Green
    Spring Green is a small village in south-central Wisconsin known for its scenic Wisconsin River setting and as the home of Frank Lloyd Wright’s Taliesin estate.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24915a5948190a11b8e83b7974dda completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a0018951f888190b70e098e4af3a90a completed May 10, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.