Triple
T10322501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse James |
E242669
|
entity |
| Predicate | killedBy |
P4646
|
FINISHED |
| Object | Robert Ford |
E242670
|
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: Robert Ford | Statement: [Jesse James, killedBy, Robert Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Ford Context triple: [Jesse James, killedBy, Robert Ford]
-
A.
Robert Ford
chosen
Robert Ford was the historical outlaw best known for betraying and killing the famous American bandit Jesse James.
-
B.
Jeffrey Lane
Jeffrey Lane is an American television writer and producer known for his work on various comedy and drama series.
-
C.
Michael Martin
Michael Martin was a British Labour politician who served as Speaker of the House of Commons in the early 21st century and was later created Baron Martin of Springburn.
-
D.
Robert Graham Jr.
Robert Graham Jr. was a prominent American sculptor known for his large-scale bronze public monuments and architectural installations.
-
E.
Jack H. Brown
Jack H. Brown was an American business executive and longtime chairman and CEO of Stater Bros. Markets, recognized for his leadership in the grocery industry and philanthropy in education and public service.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d9b2ad881909f3076f8f9d1b1d3 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.