Triple
T141637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Buffett |
E2864
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
|
E29689
|
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: Warren | Statement: [Warren Buffett, givenName, Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Context triple: [Warren Buffett, givenName, Warren]
-
A.
Marshall
Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
-
B.
Davis
Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
-
C.
Davis
Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
-
D.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
-
E.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
- 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: Warren Triple: [Warren Buffett, givenName, Warren]
Generated description
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warren Target entity description: Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
-
A.
Marshall
Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
-
B.
Davis
Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
-
C.
Davis
Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
-
D.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
-
E.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257c7e79c8190b3e5a2983035a972 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35e9e2b8c8190913c083e841c98d8 |
completed | Feb. 28, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69a360e00a0c819095a33966a78b7924 |
completed | Feb. 28, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3618124d08190af657b1b2a025d77 |
completed | Feb. 28, 2026, 9:43 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.