Triple
T4043874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Immelt |
E84016
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff Immelt |
E84016
|
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: Jeff Immelt | Statement: [Jeff Immelt, name, Jeff Immelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Immelt Context triple: [Jeff Immelt, name, Jeff Immelt]
-
A.
Jeff Immelt
chosen
Jeff Immelt is an American business executive best known for serving as the CEO and chairman of General Electric from 2001 to 2017.
-
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.
Jack Welch
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.
-
D.
Rick Fedrizzi
Rick Fedrizzi is an environmental advocate and business leader best known as a co-founder and longtime CEO of the U.S. Green Building Council, where he helped popularize green building standards such as LEED.
-
E.
Jim Lewis
Jim Lewis is a writer best known for his extensive work on Muppet-related projects, contributing scripts and material for various films, shows, and attractions.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5d759c8190b61fbbe94ffe2bf7 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564fb54c81909f40ca1d6f1e521e |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.