Triple
T1510314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uppsala University |
E30374
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object |
Bo Ralph
Bo Ralph is a Swedish linguist and professor known for his work in Scandinavian languages and his membership in the Swedish Academy.
|
E173269
|
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: Bo Ralph | Statement: [Uppsala University, hasNotableAlumnus, Bo Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo Ralph Context triple: [Uppsala University, hasNotableAlumnus, Bo Ralph]
-
A.
Ralph Malph
Ralph Malph is a wisecracking, redheaded teenager known for his corny jokes and nervous humor on the classic TV sitcom "Happy Days."
-
B.
Robby
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
C.
Rollie Totheroh
Rollie Totheroh was an American cinematographer best known for his long collaboration with Charlie Chaplin on many of the comedian’s classic silent and early sound films.
-
D.
Rod Kimble
Rod Kimble is the inept but determined amateur stuntman protagonist of the comedy film "Hot Rod," portrayed by Andy Samberg.
-
E.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
- 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: Bo Ralph Triple: [Uppsala University, hasNotableAlumnus, Bo Ralph]
Generated description
Bo Ralph is a Swedish linguist and professor known for his work in Scandinavian languages and his membership in the Swedish Academy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bo Ralph Target entity description: Bo Ralph is a Swedish linguist and professor known for his work in Scandinavian languages and his membership in the Swedish Academy.
-
A.
Ralph Malph
Ralph Malph is a wisecracking, redheaded teenager known for his corny jokes and nervous humor on the classic TV sitcom "Happy Days."
-
B.
Robby
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
C.
Rollie Totheroh
Rollie Totheroh was an American cinematographer best known for his long collaboration with Charlie Chaplin on many of the comedian’s classic silent and early sound films.
-
D.
Rod Kimble
Rod Kimble is the inept but determined amateur stuntman protagonist of the comedy film "Hot Rod," portrayed by Andy Samberg.
-
E.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907d4edd48190a03c85e1a0cc02b1 |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad233c254c8190b52b34526c9cb3cb |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad242d20448190a27ff7414d9cff21 |
completed | March 8, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad24e6e9688190a20c67c181936e98 |
completed | March 8, 2026, 7:27 a.m. |
Created at: March 4, 2026, 7:26 p.m.