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.