Triple

T4807855
Position Surface form Disambiguated ID Type / Status
Subject Harvest Moon E106989 entity
Predicate hasTrack P3284 FINISHED
Object Such a Woman
"Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
E471624 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: Such a Woman | Statement: [Harvest Moon, hasTrack, Such a Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Such a Woman
Context triple: [Harvest Moon, hasTrack, Such a Woman]
  • A. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • B. She’s a Woman
    "She’s a Woman" is a song from the musical *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
  • C. The Heart of a Woman
    The Heart of a Woman is a 1981 autobiographical book by Maya Angelou that chronicles her experiences in the 1950s and 1960s as a writer, civil rights activist, and single mother.
  • D. Four Women
    "Four Women" is a powerful 1966 song by Nina Simone that portrays the struggles and identities of four Black women, highlighting themes of racism, sexism, and resilience.
  • E. Two Women
    Two Women is a Russian drama film directed by Vera Glagoleva, adapted from Ivan Turgenev’s play "A Month in the Country" and known for its period setting and emotional romantic entanglements.
  • 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: Such a Woman
Triple: [Harvest Moon, hasTrack, Such a Woman]
Generated description
"Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Such a Woman
Target entity description: "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • A. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • B. She’s a Woman
    "She’s a Woman" is a song from the musical *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
  • C. The Heart of a Woman
    The Heart of a Woman is a 1981 autobiographical book by Maya Angelou that chronicles her experiences in the 1950s and 1960s as a writer, civil rights activist, and single mother.
  • D. Four Women
    "Four Women" is a powerful 1966 song by Nina Simone that portrays the struggles and identities of four Black women, highlighting themes of racism, sexism, and resilience.
  • E. Two Women
    Two Women is a Russian drama film directed by Vera Glagoleva, adapted from Ivan Turgenev’s play "A Month in the Country" and known for its period setting and emotional romantic entanglements.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6a98a481909ef273d9946906a4 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da6a9b4819083706381a57e2c73 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4ea556148190819480e219fc7c2c completed March 21, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69be4f57ed4881908c03c76c0b3c733d completed March 21, 2026, 7:57 a.m.
Created at: March 20, 2026, 1:23 p.m.