Triple
T21412141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus Goldman & Co. |
E528199
|
entity |
| Predicate | notablePersonInvolved |
P6467
|
FINISHED |
| Object | Marcus Goldman |
—
|
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: Marcus Goldman | Statement: [Marcus Goldman & Co., notablePersonInvolved, Marcus Goldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcus Goldman Context triple: [Marcus Goldman & Co., notablePersonInvolved, Marcus Goldman]
-
A.
Marcus Goldman
chosen
Marcus Goldman was a 19th-century German-born American investment banker best known as the founder of the global financial firm Goldman Sachs.
-
B.
Andrew Goldman
Andrew Goldman is a film editor known for his work on the independent feature "Tiny Furniture."
-
C.
Martin Goldstein
Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
-
D.
Max Goldman
Max Goldman is a cantankerous yet endearing elderly man and one of the two feuding neighbors at the heart of the comedy film "Grumpy Old Men."
-
E.
David Goldman
David Goldman was a British entrepreneur best known for co-founding the accounting software company Sage Group and helping to build it into a global business.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d01634819089dd64fe7bc5ccbd |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:43 p.m.