Triple
T21449074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bee Vang |
E529158
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bee |
E530749
|
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: Bee | Statement: [Bee Vang, givenName, Bee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bee Context triple: [Bee Vang, givenName, Bee]
-
A.
Bee
chosen
Bee is a common English surname shared by various individuals, including the comedian and television host Samantha Bee.
-
B.
the Bee
The Bee is a former name meaning associated with the genus Musca, historically used to denote a bee-like characteristic or identity.
-
C.
Hornisse
Hornisse is the German nickname given to the Messerschmitt Me 410, a World War II twin-engine heavy fighter and fast bomber used by the Luftwaffe.
-
D.
Wasp
"Wasp" is an acclaimed 2003 British short film written and directed by Andrea Arnold, known for its gritty portrayal of a struggling single mother and for winning the Academy Award for Best Live Action Short Film.
-
E.
Wasp
"Wasp" is a 1957 science fiction novel by Eric Frank Russell, best known for its satirical portrayal of psychological warfare and guerrilla tactics used by a single operative to destabilize an alien empire.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c907cb9c8190b4a50551b274a915 |
completed | May 17, 2026, 1:56 p.m. |
Created at: April 16, 2026, 6:06 p.m.