Triple
T4043876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Immelt |
E84016
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Immelt
Immelt is the surname of Jeff Immelt, the American business executive best known for serving as CEO of General Electric.
|
E408622
|
NE FINISHED |
How this triple was built (4 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: Immelt | Statement: [Jeff Immelt, familyName, Immelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Immelt Context triple: [Jeff Immelt, familyName, Immelt]
-
A.
Otto
Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
-
B.
Otto
Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
-
C.
Otto
Otto is a given name of Germanic origin commonly used across various European countries.
-
D.
Everhard
Everhard is a masculine given name and surname of Germanic origin, related to Eberhard and meaning "brave" or "strong boar."
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Immelt Triple: [Jeff Immelt, familyName, Immelt]
Generated description
Immelt is the surname of Jeff Immelt, the American business executive best known for serving as CEO of General Electric.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Immelt Target entity description: Immelt is the surname of Jeff Immelt, the American business executive best known for serving as CEO of General Electric.
-
A.
Otto
Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
-
B.
Otto
Otto is a given name of Germanic origin commonly used across various European countries.
-
C.
Otto
Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
-
D.
Everhard
Everhard is a masculine given name and surname of Germanic origin, related to Eberhard and meaning "brave" or "strong boar."
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69b5579085608190937528de7e0f987e |
completed | March 14, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55828506081908181436282907b08 |
completed | March 14, 2026, 12:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.