Triple
T21877388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Television |
E540182
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Fred Smith |
—
|
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: Fred Smith | Statement: [Television, hasMember, Fred Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Smith Context triple: [Television, hasMember, Fred Smith]
-
A.
Fred Smith
Fred Smith is the central protagonist of the Australian film "Sweet Country," a period drama set in the outback that explores themes of racism, justice, and survival.
-
B.
Fred Smith
Fred Smith is a musician best known as the bassist for the punk rock group The Jim Carroll Band.
-
C.
Frederick W. Smith
Frederick W. Smith is an American businessman and entrepreneur best known as the founder of the global courier delivery company FedEx.
-
D.
Frederick G. Smith
chosen
Frederick G. Smith is one of the sons of American television executive and media entrepreneur Julian Sinclair Smith.
-
E.
Frederick E. Smith
Frederick E. Smith was a British author best known for his wartime aviation novel "633 Squadron," which inspired the 1964 film of the same name.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33c012c819096d0f7b2ffdc7a2f |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.