Triple
T17984178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Welch |
E430182
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jane Welch |
—
|
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: Jane Welch | Statement: [Jack Welch, spouse, Jane Welch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Welch Context triple: [Jack Welch, spouse, Jane Welch]
-
A.
Jane Welch
chosen
Jane Welch is known as the former wife of Jack Welch, the influential longtime CEO of General Electric.
-
B.
Lois Welch
Lois Welch is an American academic and literary scholar best known for her work preserving and promoting the legacy of her late husband, Native American author James Welch.
-
C.
Mary Hoyt
Mary Hoyt was the birth name of Mary Hoyt Sherman, an American woman known primarily in historical records through her married identity.
-
D.
Lois Wilson
Lois Wilson was an American actress prominent during the silent and early sound film eras, known for her versatile performances in numerous Hollywood productions.
-
E.
Mary Louise Wilson
Mary Louise Wilson is an American actress and comedian known for her work on stage, film, and television, including a Tony Award-winning performance in the Broadway musical "Grey Gardens."
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b2992fe481908c0d2757b4de5bad |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.