Triple
T13027660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strength of a Woman |
E326348
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Neff-U |
E739431
|
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: Neff-U | Statement: [Strength of a Woman, producer, Neff-U]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neff-U Context triple: [Strength of a Woman, producer, Neff-U]
-
A.
Neff-U
chosen
Neff-U is an American record producer known for his work in hip hop and R&B with artists such as Big Sean, Dr. Dre, and Eminem.
-
B.
Gaggenau
Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
-
C.
Midea
Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
-
D.
Franke
Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
-
E.
Hamilton Beach
Hamilton Beach is an American brand best known for manufacturing household appliances such as blenders, coffee makers, and other small kitchen devices.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c12191b08190abf4123995116ebc |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:53 p.m.