Triple

T901576
Position Surface form Disambiguated ID Type / Status
Subject Neil Young E19457 entity
Predicate notableWork P4 FINISHED
Object Old Man
"Old Man" is a classic folk-rock song by Neil Young, known for its reflective lyrics about aging and life perspective, originally released on his 1972 album "Harvest."
 E106976 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: Old Man | Statement: [Neil Young, notableWork, Old Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Man
Context triple: [Neil Young, notableWork, Old Man]
  • A. Old Pete
    Old Pete is the famous nickname of Confederate General James Longstreet, one of Robert E. Lee’s most trusted corps commanders during the American Civil War.
  • B. Same Old Man
    "Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
  • C. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. "Old Lady"
    "Old Lady" is a colloquial nickname referring to the Bank of England, derived from the famous satirical figure known as the Old Lady of Threadneedle Street.
  • 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: Old Man
Triple: [Neil Young, notableWork, Old Man]
Generated description
"Old Man" is a classic folk-rock song by Neil Young, known for its reflective lyrics about aging and life perspective, originally released on his 1972 album "Harvest."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Old Man
Target entity description: "Old Man" is a classic folk-rock song by Neil Young, known for its reflective lyrics about aging and life perspective, originally released on his 1972 album "Harvest."
  • A. Old Pete
    Old Pete is the famous nickname of Confederate General James Longstreet, one of Robert E. Lee’s most trusted corps commanders during the American Civil War.
  • B. Same Old Man
    "Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
  • C. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. "Old Lady"
    "Old Lady" is a colloquial nickname referring to the Bank of England, derived from the famous satirical figure known as the Old Lady of Threadneedle Street.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4412408190a6bf8fc7484a5781 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c734e680819098840e9c736b5ead completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c8a3064081908772ee2305bbe3e1 completed March 4, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_69a7c8fecaac8190a7b1a1cd2fa98a2d completed March 4, 2026, 5:54 a.m.
Created at: March 1, 2026, 7:39 p.m.