Triple
T21437878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin family |
E528860
|
entity |
| Predicate | hasAncestor |
P369
|
FINISHED |
| Object | Thomas Baldwin |
—
|
NE NERFINISHED |
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 Baldwin | Statement: [Baldwin family, hasAncestor, Thomas Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Baldwin Context triple: [Baldwin family, hasAncestor, Thomas Baldwin]
-
A.
Thomas Baldwin
chosen
Thomas Baldwin was an 18th-century English architect best known for shaping much of the Georgian cityscape of Bath, Somerset.
-
B.
Henry Baldwin
Henry Baldwin was an Associate Justice of the U.S. Supreme Court in the early 19th century, known for his often idiosyncratic and independent judicial opinions.
-
C.
William Rector
William Rector is an American businessman best known as a founder of the telecommunications company WorldCom, Inc.
-
D.
William Martin
William Martin is a relatively common English personal name shared by numerous historical and contemporary figures across various professions and regions.
-
E.
Gregory Morton
Gregory Morton was an American character actor known for his supporting roles in mid-20th-century film and television productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b53972e48190bc8bbc543173854c |
completed | April 22, 2026, 11:47 a.m. |
Created at: April 16, 2026, 6:03 p.m.