Triple
T3084171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheers |
E64329
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Les Charles |
E325135
|
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: Les Charles | Statement: [Cheers, executiveProducer, Les Charles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Charles Context triple: [Cheers, executiveProducer, Les Charles]
-
A.
Les Charles
chosen
Les Charles is an American television writer and producer best known for co-creating the acclaimed sitcom "Cheers."
-
B.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
-
C.
Canal Saint-Martin
Canal Saint-Martin is a picturesque 19th-century waterway in northeastern Paris, known for its iron footbridges, tree-lined quays, and popular cafés along its banks.
-
D.
Pont Saint-Louis
Pont Saint-Louis is a pedestrian bridge in central Paris that links the Île de la Cité to the Île Saint-Louis over the Seine.
-
E.
Source-Seine
Source-Seine is the small commune in eastern France where the River Seine originates.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f4dc9d481908b64d2d2bca0381a |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:03 p.m.