Triple
T3478446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groves |
E73431
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Paul Groves
Paul Groves is an American operatic tenor acclaimed for his performances in major international opera houses and concert halls.
|
E391535
|
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: Paul Groves | Statement: [Groves, hasNotableBearer, Paul Groves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Groves Context triple: [Groves, hasNotableBearer, Paul Groves]
-
A.
Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
-
B.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
C.
Graham Sharp
Graham Sharp is an American banjo player, singer, and songwriter best known as a founding member of the bluegrass band Steep Canyon Rangers.
-
D.
Graham Crowley
Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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: Paul Groves Triple: [Groves, hasNotableBearer, Paul Groves]
Generated description
Paul Groves is an American operatic tenor acclaimed for his performances in major international opera houses and concert halls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Groves Target entity description: Paul Groves is an American operatic tenor acclaimed for his performances in major international opera houses and concert halls.
-
A.
Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
-
B.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
C.
Graham Sharp
Graham Sharp is an American banjo player, singer, and songwriter best known as a founding member of the bluegrass band Steep Canyon Rangers.
-
D.
Graham Crowley
Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5ca73c81908256e3339a3a6f9f |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4faec5fc4819090c8f55b819d436c |
completed | March 14, 2026, 6:06 a.m. |
| NEDg | Description generation | batch_69b4fc7abfb481908f563e17e6e57a4e |
completed | March 14, 2026, 6:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fce0a6a88190be19941a70caebdc |
completed | March 14, 2026, 6:14 a.m. |
Created at: March 8, 2026, 3:17 p.m.