Triple
T21381663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter T. Grauer |
E527373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grauer
Grauer is a surname most prominently associated with Peter T. Grauer, the American businessman and longtime chairman of Bloomberg L.P.
|
E1481125
|
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: Grauer | Statement: [Peter T. Grauer, familyName, Grauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grauer Context triple: [Peter T. Grauer, familyName, Grauer]
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Swart
Swart is a surname of Afrikaans and Dutch origin, notably borne by Charles Robberts Swart, the first State President of South Africa.
-
C.
Schwaz
Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
-
D.
Grigio
Grigio is a character from the novel and film "Warm Bodies," known as the authoritarian leader of the zombies and the father of the protagonist R.
-
E.
Bruinehaar
Bruinehaar is a small village in the Dutch province of Overijssel, located near the German border.
- 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: Grauer Triple: [Peter T. Grauer, familyName, Grauer]
Generated description
Grauer is a surname most prominently associated with Peter T. Grauer, the American businessman and longtime chairman of Bloomberg L.P.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grauer Target entity description: Grauer is a surname most prominently associated with Peter T. Grauer, the American businessman and longtime chairman of Bloomberg L.P.
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Swart
Swart is a surname of Afrikaans and Dutch origin, notably borne by Charles Robberts Swart, the first State President of South Africa.
-
C.
Schwaz
Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
-
D.
Grigio
Grigio is a character from the novel and film "Warm Bodies," known as the authoritarian leader of the zombies and the father of the protagonist R.
-
E.
Bruinehaar
Bruinehaar is a small village in the Dutch province of Overijssel, located near the German border.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cf89f08190bd7c0d552232d948 |
completed | April 22, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b42473b08190b0cf48ed71c09de4 |
completed | May 17, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_6a09b494bc348190b72a5e862b74711a |
completed | May 17, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b60be86c8190ba4e0890da8dadb1 |
completed | May 17, 2026, 12:35 p.m. |
Created at: April 16, 2026, 5:12 p.m.