Triple

T20742526
Position Surface form Disambiguated ID Type / Status
Subject The Less Deceived E510478 entity
Predicate hasPoem P21160 FINISHED
Object Age
"Age" is a poem by Philip Larkin that reflects on the passage of time and the emotional and physical changes that accompany growing older.
 E1448826 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: Age | Statement: [The Less Deceived, hasPoem, Age]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Age
Context triple: [The Less Deceived, hasPoem, Age]
  • A. Age to Age
    Age to Age is a landmark contemporary Christian music album by singer Amy Grant that helped establish her as a major crossover artist in the early 1980s.
  • B. Age Out
    Age Out is an independent drama film following a young man aging out of the foster care system and struggling to survive on his own, starring Tye Sheridan.
  • C. Older
    Older is a 1996 studio album by British singer-songwriter George Michael, noted for its mature, introspective themes and soulful, jazz-influenced sound.
  • D. Old Age
    "Old Age" is an essay reflecting on the experiences, challenges, and philosophical significance of growing old.
  • E. Elder
    Elder is a title typically denoting a senior, respected, or authoritative figure within a community, organization, or group.
  • 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: Age
Triple: [The Less Deceived, hasPoem, Age]
Generated description
"Age" is a poem by Philip Larkin that reflects on the passage of time and the emotional and physical changes that accompany growing older.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Age
Target entity description: "Age" is a poem by Philip Larkin that reflects on the passage of time and the emotional and physical changes that accompany growing older.
  • A. Age to Age
    Age to Age is a landmark contemporary Christian music album by singer Amy Grant that helped establish her as a major crossover artist in the early 1980s.
  • B. Age Out
    Age Out is an independent drama film following a young man aging out of the foster care system and struggling to survive on his own, starring Tye Sheridan.
  • C. Older
    Older is a 1996 studio album by British singer-songwriter George Michael, noted for its mature, introspective themes and soulful, jazz-influenced sound.
  • D. Old Age
    "Old Age" is an essay reflecting on the experiences, challenges, and philosophical significance of growing old.
  • E. Elder
    Elder is a title typically denoting a senior, respected, or authoritative figure within a community, organization, or group.
  • 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.