Triple

T18274739
Position Surface form Disambiguated ID Type / Status
Subject Marie Lloyd E437704 entity
Predicate notableWork P4 FINISHED
Object My Old Man
"My Old Man" is a popular British music hall song closely associated with the celebrated performer Marie Lloyd.
 E1315565 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: My Old Man | Statement: [Marie Lloyd, notableWork, My Old Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My Old Man
Context triple: [Marie Lloyd, notableWork, My Old Man]
  • A. My Old Man
    "My Old Man" is a short story by Ernest Hemingway that explores themes of father-son relationships, disillusionment, and the harsh realities of adult life.
  • B. My Old Man
    "My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
  • C. My Old Man
    "My Old Man" is a reflective folk song by John Denver that tenderly explores his relationship with his father and the passage of time.
  • D. 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.
  • E. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • 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: My Old Man
Triple: [Marie Lloyd, notableWork, My Old Man]
Generated description
"My Old Man" is a popular British music hall song closely associated with the celebrated performer Marie Lloyd.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My Old Man
Target entity description: "My Old Man" is a popular British music hall song closely associated with the celebrated performer Marie Lloyd.
  • A. My Old Man
    "My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
  • B. My Old Man
    "My Old Man" is a short story by Ernest Hemingway that explores themes of father-son relationships, disillusionment, and the harsh realities of adult life.
  • C. My Old Man
    "My Old Man" is a reflective folk song by John Denver that tenderly explores his relationship with his father and the passage of time.
  • D. 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.
  • E. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50050d6688190b909a1c24e1dd3c9 completed April 19, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3fc2a808190be07b43e9e7ac3bb completed May 12, 2026, 11:13 p.m.
NEDg Description generation batch_6a03b53fc3688190aa6f8e9673763e79 completed May 12, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a03b62cb67481908c78ca4d55710dbd completed May 12, 2026, 11:22 p.m.
Created at: April 10, 2026, 10:34 a.m.