Triple
T10408808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Carlyle Ford |
E245334
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thomas Carlyle Ford |
E245334
|
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: Thomas Carlyle Ford | Statement: [Thomas Carlyle Ford, name, Thomas Carlyle Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Carlyle Ford Context triple: [Thomas Carlyle Ford, name, Thomas Carlyle Ford]
-
A.
Thomas Carlyle Ford
chosen
Thomas Carlyle Ford is an American fashion designer and filmmaker best known for revitalizing Gucci in the 1990s and for founding his own luxury brand, Tom Ford.
-
B.
Alexander John Buckley Ford
Alexander John Buckley Ford is the son of American fashion designer and filmmaker Tom Ford and his husband, journalist Richard Buckley.
-
C.
Steven Meigs Ford
Steven Meigs Ford is the son of former U.S. President Gerald Ford and First Lady Betty Ford.
-
D.
Thomas Ford
Thomas Ford was an American politician who served as the eighth governor of Illinois from 1842 to 1846.
-
E.
Edward Charles Ford
Edward Charles Ford, better known as Whitey Ford, was a Hall of Fame left-handed pitcher who starred for the New York Yankees in the 1950s and 1960s.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbf1c428819099ca359309c4c836 |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:09 p.m.