Triple
T12496898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Upshaw |
E298714
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cecil |
E32754
|
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: Cecil | Statement: [Cecil Upshaw, givenName, Cecil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecil Context triple: [Cecil Upshaw, givenName, Cecil]
-
A.
Cecil
Cecil is a locality within the Downtown Core area, likely referring to a street or small neighborhood in the central business district of Singapore.
-
B.
Cecil
chosen
Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
-
C.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
-
D.
Clive
Clive is a suburban city in central Iowa, United States, known for its residential communities and location within the greater Des Moines metropolitan area.
-
E.
Clive
Clive is the foul-mouthed, surreal comic persona played by Peter Cook in the British comedy recordings "Derek and Clive" alongside Dudley Moore.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64baf73188190af29b57f8ae9253f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.