Triple
T16416493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Hahn |
E398698
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | "I'm Every Woman" |
E63772
|
NE FINISHED |
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: "I'm Every Woman" | Statement: [Lew Hahn, workedOn, "I'm Every Woman"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "I'm Every Woman" Context triple: [Lew Hahn, workedOn, "I'm Every Woman"]
-
A.
I’m Every Woman
chosen
"I'm Every Woman" is a classic 1978 R&B/disco anthem by Chaka Khan celebrating female empowerment and versatility.
-
B.
“More Than a Woman”
“More Than a Woman” is an R&B song produced by Danish production duo Soulshock & Karlin, best known in its hit version performed by Aaliyah.
-
C.
That's Just the Woman in Me
"That's Just the Woman in Me" is a soulful pop ballad recorded by Celine Dion, featured on her 2007 album "Taking Chances."
-
D.
More Than a Woman
"More Than a Woman" is a soulful jazz-influenced song by Gregory Porter featured on his critically acclaimed album "Take Me to the Alley."
-
E.
“Like a Woman”
“Like a Woman” is the debut studio album by American singer-songwriter Kacy Hill, showcasing her ethereal vocals and atmospheric pop-R&B sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457f60c081908f4e46993780ac09 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.