Triple
T13526556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Sigma |
E323028
|
entity |
| Predicate | popularizedBy |
P4586
|
FINISHED |
| Object | Jack Welch |
E83349
|
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: Jack Welch | Statement: [Six Sigma, popularizedBy, Jack Welch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Welch Context triple: [Six Sigma, popularizedBy, Jack Welch]
-
A.
Jack Welch
chosen
Jack Welch was a prominent American business executive best known for his transformative and often controversial tenure as CEO of General Electric from 1981 to 2001.
-
B.
A. G. Lafley
A. G. Lafley is an American businessman best known for serving as the longtime CEO of Procter & Gamble, where he led major brand expansions and corporate growth.
-
C.
Jeff Immelt
Jeff Immelt is an American business executive best known for serving as the CEO and chairman of General Electric from 2001 to 2017.
-
D.
Jim Collins
Jim Collins is an American business consultant and author best known for his influential management books such as "Good to Great" and "Built to Last."
-
E.
Andrea Immelt
Andrea Immelt is the wife of former General Electric CEO Jeff Immelt and is known primarily for her role as his spouse in public and professional circles.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.