Triple
T7854919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannon Smith |
E182149
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Frederick W. Smith |
E27671
|
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: Frederick W. Smith | Statement: [Cannon Smith, childOf, Frederick W. Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frederick W. Smith Context triple: [Cannon Smith, childOf, Frederick W. Smith]
-
A.
Frederick W. Smith
chosen
Frederick W. Smith is an American businessman and entrepreneur best known as the founder of the global courier delivery company FedEx.
-
B.
Frederick G. Smith
Frederick G. Smith is one of the sons of American television executive and media entrepreneur Julian Sinclair Smith.
-
C.
Frederic E. Smith
Frederic E. Smith is a scholar known for co-authoring ecological research with prominent ecologist Lawrence B. Slobodkin.
-
D.
Frederick Edwin Smith
Frederick Edwin Smith, 1st Earl of Birkenhead, was a prominent British Conservative politician, lawyer, and Lord Chancellor in the early 20th century.
-
E.
Robert Crandall
Robert Crandall is an American airline executive best known for leading American Airlines through deregulation and pioneering innovations such as frequent-flyer programs and yield management.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b27e9b081909a0574458ddf43b0 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:51 p.m.