Triple
T3827828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Farley |
E88733
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Farley |
E88733
|
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: Farley | Statement: [Jim Farley, familyName, Farley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farley Context triple: [Jim Farley, familyName, Farley]
-
A.
Farley
chosen
Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
-
B.
Farley
Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
-
C.
Flecher
Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
-
D.
Finney
Finney is a surname most famously associated with English actor Albert Finney, known for his acclaimed work in film, television, and theatre.
-
E.
Figan
Figan is an individual known primarily through their familial relationship as the child of Flo.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb66c0bc819084d9a9fe32e8433a |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb51e6248190b242f9e498a320d3 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.