Triple

T17492762
Position Surface form Disambiguated ID Type / Status
Subject Till I Get It Right E425966 entity
Predicate album P1995 FINISHED
Object My Man NE NERFINISHED

How this triple was built (2 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 Man | Statement: [Till I Get It Right, album, My Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Man
Context triple: [Till I Get It Right, album, My Man]
  • A. My Man chosen
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • B. I’m Your Man
    I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d6bd548190b4c6fae27c2a9ae8 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.