Triple
T4553628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil' Kim |
E120428
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Queen Bee |
E120428
|
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: Queen Bee | Statement: [Lil' Kim, hasNickname, Queen Bee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Bee Context triple: [Lil' Kim, hasNickname, Queen Bee]
-
A.
Queen Bee
chosen
Queen Bee is the nickname of Lil' Kim, the influential American rapper known for her provocative style, hardcore lyrics, and pioneering role for women in hip-hop.
-
B.
Bee Hive
Bee Hive was the name used for Boston's Braves Field baseball park during the period when the team was known as the Boston Bees.
-
C.
The Bee
The Bee is the 16th chapter of the Qur'an, known for its emphasis on God's blessings, signs in nature, and guidance for righteous living.
-
D.
The Wasp
The Wasp is a Marvel superhero, often portrayed as a size-changing, flying Avenger who fights alongside Ant-Man using advanced Pym particle technology.
-
E.
Honey
Honey is a popular online shopping tool and browser extension that automatically finds and applies coupon codes to help users save money.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58127ed08190a04962a43afb888b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3968b4c819082314a0dd9fb4202 |
completed | March 20, 2026, 11:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.