Triple
T13843079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Bee |
E332715
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | FRENCH BEE |
E10909
|
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: FRENCH BEE | Statement: [French Bee, callsign, FRENCH BEE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FRENCH BEE Context triple: [French Bee, callsign, FRENCH BEE]
-
A.
French Bee
chosen
French Bee is a French low-cost, long-haul airline specializing in transatlantic and Indian Ocean routes.
-
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.
Beeban
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
-
D.
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.
-
E.
Frenchie
Frenchie is a resourceful and eccentric member of the vigilante group in the TV series "The Boys," known for his combat skills, improvisational tactics, and complex moral compass.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.