Triple
T4346703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffett |
E97920
|
entity |
| Predicate | associatedGivenName |
P17
|
FINISHED |
| Object | Jimmy |
E354792
|
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: Jimmy | Statement: [Buffett, associatedGivenName, Jimmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Context triple: [Buffett, associatedGivenName, Jimmy]
-
A.
Jimmy
chosen
Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
-
B.
Jack
Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
-
C.
Johnny
Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
-
D.
Jamie
Jamie is a given name commonly used as a diminutive or variant of James, and is borne by people of all genders in English-speaking countries.
-
E.
Joe
Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3518d6728819084a2f40ae0bd3ac8 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b650be7ac88190a8476b956e5994ec |
completed | March 15, 2026, 6:25 a.m. |
Created at: March 12, 2026, 11:15 p.m.