Triple
T14592819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Medal |
E342485
|
entity |
| Predicate | hasNotableRecipient |
P108
|
FINISHED |
| Object |
Brian Berry
Brian Berry is a prominent British geographer known for his influential work in urban and regional analysis and contributions to quantitative geography.
|
E1109431
|
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: Brian Berry | Statement: [Victoria Medal, hasNotableRecipient, Brian Berry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Berry Context triple: [Victoria Medal, hasNotableRecipient, Brian Berry]
-
A.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
B.
Dan Truman
Dan Truman is the NASA administrator in the 1998 disaster film "Armageddon," responsible for overseeing the mission to prevent an asteroid from destroying Earth.
-
C.
Mark Connally
Mark Connally is the son of former Texas First Lady Nellie Connally and prominent Texas politician John Connally.
-
D.
Ros Bailey
Ros Bailey is a fictional executive character in the "Fifty Shades" series who serves in a senior leadership role at Christian Grey’s company.
-
E.
David Hardberger
David Hardberger is a cinematographer known for his work on the 2000 film "Dinosaur."
- 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: Brian Berry Triple: [Victoria Medal, hasNotableRecipient, Brian Berry]
Generated description
Brian Berry is a prominent British geographer known for his influential work in urban and regional analysis and contributions to quantitative geography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Berry Target entity description: Brian Berry is a prominent British geographer known for his influential work in urban and regional analysis and contributions to quantitative geography.
-
A.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
B.
Dan Truman
Dan Truman is the NASA administrator in the 1998 disaster film "Armageddon," responsible for overseeing the mission to prevent an asteroid from destroying Earth.
-
C.
Mark Connally
Mark Connally is the son of former Texas First Lady Nellie Connally and prominent Texas politician John Connally.
-
D.
Ros Bailey
Ros Bailey is a fictional executive character in the "Fifty Shades" series who serves in a senior leadership role at Christian Grey’s company.
-
E.
David Hardberger
David Hardberger is a cinematographer known for his work on the 2000 film "Dinosaur."
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda918542c819099646943be59dd04 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdaed912d4819088c4b96c56187044 |
completed | May 8, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdaf8104588190b76ff363367b8f78 |
completed | May 8, 2026, 9:40 a.m. |
Created at: April 10, 2026, 1:24 a.m.