Triple
T22103475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pirate Queen |
E546225
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Woman to Woman |
—
|
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: Woman to Woman | Statement: [The Pirate Queen, notableSong, Woman to Woman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woman to Woman Context triple: [The Pirate Queen, notableSong, Woman to Woman]
-
A.
Woman to Woman
"Woman to Woman" is a 2012 R&B album by American singer Keyshia Cole that explores themes of love, heartbreak, and female solidarity.
-
B.
Woman to Woman
chosen
"Woman to Woman" is a country song recorded by Tammy Wynette that reflects her signature themes of love, heartbreak, and emotional confrontation from a female perspective.
-
C.
Woman, Woman
"Woman, Woman" is a 1968 pop song by Gary Puckett & The Union Gap, known for its dramatic vocals and themes of marital suspicion and emotional turmoil.
-
D.
Woman V
Woman V is an artwork that forms part of Willem de Kooning’s renowned abstract expressionist “Woman” series.
-
E.
Woman
"Woman" is an empowering, feminist pop song by Kesha that celebrates female independence and self-confidence.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.