Triple
T21560767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All's Well with Bingo |
E532016
|
entity |
| Predicate | featuresOrganization |
P629
|
FINISHED |
| Object | Drones Club |
—
|
NE NERFINISHED |
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: Drones Club | Statement: [All's Well with Bingo, featuresOrganization, Drones Club]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drones Club Context triple: [All's Well with Bingo, featuresOrganization, Drones Club]
-
A.
Drones Club stories
chosen
The Drones Club stories are a series of humorous tales by P. G. Wodehouse centered on the misadventures of idle young London clubmen, including recurring characters like Bertie Wooster.
-
B.
Drone
"Drone" is a song by the American rock band Alice in Chains from their album "Rainier Fog."
-
C.
AerClub
AerClub is the loyalty and frequent flyer program of Aer Lingus, offering members points, tier benefits, and rewards for their travel with the airline and its partners.
-
D.
Aerialbots
The Aerialbots are an Autobot subgroup of jet-forming Transformers that combine into the powerful super-robot Superion.
-
E.
CH Dron
CH Dron is a metro terminus station on the Lille Metro network in northern France, serving the area around the Centre Hospitalier Dron in Tourcoing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e2db2c81908b965312c50d4354 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.