Triple
T11713217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Venus |
E278423
|
entity |
| Predicate | hasConnotation |
P4340
|
FINISHED |
| Object | Black beauty |
E343916
|
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: Black beauty | Statement: [Black Venus, hasConnotation, Black beauty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black beauty Context triple: [Black Venus, hasConnotation, Black beauty]
-
A.
Black beauty
chosen
Black beauty is a cultural and aesthetic concept that celebrates the attractiveness, dignity, and value of Black people and Black features in contrast to Eurocentric beauty standards.
-
B.
Havana Brown
Havana Brown is an Australian DJ, singer, and producer best known for her dance-pop hits and energetic club performances.
-
C.
Velvet Brown
Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
-
D.
Seal Point
Seal Point is a coastal headland or promontory located near Hope Bay on the Antarctic Peninsula.
-
E.
Blackmoor
Blackmoor is a fictional, fog-shrouded Victorian English village known as the primary horror setting of the 2010 werewolf film "The Wolfman."
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef838562d08190b9a764e88c50d423 |
completed | April 27, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:40 p.m.