Triple
T12475925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biddle |
E298175
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | James Biddle |
E300308
|
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: James Biddle | Statement: [Biddle, hasNotableBearer, James Biddle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Biddle Context triple: [Biddle, hasNotableBearer, James Biddle]
-
A.
James Biddle
chosen
James Biddle was a United States Navy officer and diplomat in the early 19th century, noted for his service in the War of 1812 and for negotiating treaties with Asian nations.
-
B.
Jack Biddle
Jack Biddle was one of the notorious Biddle brothers, remembered as a central figure in their infamous prison escape.
-
C.
Eli H. Janney
Eli H. Janney was a 19th-century American inventor best known for creating the automatic railroad car coupler that greatly improved rail safety and efficiency.
-
D.
Christopher Goutman
Christopher Goutman is an American television producer and director best known for his work on daytime soap operas.
-
E.
E. E. Rittenhouse
E. E. Rittenhouse was an American public health advocate and organizer best known for helping establish what became the American Cancer Society in the early 20th century.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcb194c81908b5e0320ddfd463c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f25462881908dccb831b474875d |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.