Triple

T6982197
Position Surface form Disambiguated ID Type / Status
Subject Hubert Parry E161873 entity
Predicate notableWork P4 FINISHED
Object I was glad
"I was glad" is a choral anthem by English composer Hubert Parry, best known for its majestic setting of Psalm 122 and frequent performance at British royal ceremonies.
 E632548 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: I was glad | Statement: [Hubert Parry, notableWork, I was glad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I was glad
Context triple: [Hubert Parry, notableWork, I was glad]
  • A. Overjoyed
    "Overjoyed" is a soulful ballad by Stevie Wonder, celebrated for its lush harmonies, intricate chord progressions, and heartfelt expression of romantic longing.
  • B. Feels Good
    "Feels Good" is a 1990 new jack swing and R&B hit single by Tony! Toni! Toné! that became one of the group's signature songs.
  • C. I Was There
    "I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
  • D. I Was There
    "I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
  • E. Pleasured
    Pleasured is a novel by British writer Philip Hensher, known for its darkly comic and satirical exploration of contemporary life and relationships.
  • 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: I was glad
Triple: [Hubert Parry, notableWork, I was glad]
Generated description
"I was glad" is a choral anthem by English composer Hubert Parry, best known for its majestic setting of Psalm 122 and frequent performance at British royal ceremonies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: I was glad
Target entity description: "I was glad" is a choral anthem by English composer Hubert Parry, best known for its majestic setting of Psalm 122 and frequent performance at British royal ceremonies.
  • A. Overjoyed
    "Overjoyed" is a soulful ballad by Stevie Wonder, celebrated for its lush harmonies, intricate chord progressions, and heartfelt expression of romantic longing.
  • B. Feels Good
    "Feels Good" is a 1990 new jack swing and R&B hit single by Tony! Toni! Toné! that became one of the group's signature songs.
  • C. I Was There
    "I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
  • D. I Was There
    "I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
  • E. Pleasured
    Pleasured is a novel by British writer Philip Hensher, known for its darkly comic and satirical exploration of contemporary life and relationships.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db8fdad481908f211a8b333714bd completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761c0ecd88190a684392aa6daf267 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c76275a5f08190b71a59694ef4a1fd completed March 28, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69c762ee1a048190ada3e6fd850e468b completed March 28, 2026, 5:11 a.m.
Created at: March 27, 2026, 2:31 p.m.