Triple
T16224297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O’Neil Ford |
E393805
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | O’Neil Ford |
E393805
|
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: O’Neil Ford | Statement: [O’Neil Ford, name, O’Neil Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O’Neil Ford Context triple: [O’Neil Ford, name, O’Neil Ford]
-
A.
O’Neil Ford
chosen
O’Neil Ford was a prominent 20th-century American architect known for his modernist designs that integrated regional materials and traditions, particularly in Texas.
-
B.
O’Neil Bell
O’Neil Bell was a Jamaican professional boxer best known for becoming the undisputed cruiserweight world champion in the mid-2000s.
-
C.
Diane Ford
Diane Ford was a Canadian matriarch known primarily as the mother of Toronto mayor Rob Ford and Ontario Premier Doug Ford, and as a prominent figure in the Ford political family.
-
D.
Rochelle L. Ford
Rochelle L. Ford is an American academic leader and communications scholar who serves as president of Dillard University, a historically Black university in New Orleans.
-
E.
Allyn Ferguson
Allyn Ferguson was an American composer and arranger best known for his work in film and television scoring, including themes for popular series and TV movies.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d24f9688190b670cfeb73332293 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079a5c1481909485e1b4a41f5d2c |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.