Triple
T7418079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smile |
E171177
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
What Makes a Woman
"What Makes a Woman" is a reflective pop ballad by Katy Perry that explores themes of femininity, identity, and empowerment.
|
E664090
|
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: What Makes a Woman | Statement: [Smile, hasTrack, What Makes a Woman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What Makes a Woman Context triple: [Smile, hasTrack, What Makes a Woman]
-
A.
Such a Woman
"Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
-
B.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
C.
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.
-
D.
A Woman's Worth
"A Woman's Worth" is a soulful R&B ballad by Alicia Keys that celebrates female value and respect, released as a single from her debut album "Songs in A Minor."
-
E.
A Woman, a Part
A Woman, a Part is an independent drama film that follows a successful television actress who retreats from her career to reassess her identity and life choices.
- 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: What Makes a Woman Triple: [Smile, hasTrack, What Makes a Woman]
Generated description
"What Makes a Woman" is a reflective pop ballad by Katy Perry that explores themes of femininity, identity, and empowerment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: What Makes a Woman Target entity description: "What Makes a Woman" is a reflective pop ballad by Katy Perry that explores themes of femininity, identity, and empowerment.
-
A.
Such a Woman
"Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
-
B.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
C.
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.
-
D.
A Woman's Worth
"A Woman's Worth" is a soulful R&B ballad by Alicia Keys that celebrates female value and respect, released as a single from her debut album "Songs in A Minor."
-
E.
A Woman, a Part
A Woman, a Part is an independent drama film that follows a successful television actress who retreats from her career to reassess her identity and life choices.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c9314c8190855b79a2e6ef3e9b |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eed92888190bf9d11ab91378fa9 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c820cc51d0819083e5a939f9101f92 |
completed | March 28, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8230e2b3481909a6460a38be2a478 |
completed | March 28, 2026, 6:50 p.m. |
Created at: March 27, 2026, 3:11 p.m.