Triple
T1513005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pennsylvania Law School |
E32055
|
entity |
| Predicate | hasNotableFaculty |
P141
|
FINISHED |
| Object |
William Burke-White
William Burke-White is an American legal scholar and professor known for his work in international law, foreign policy, and global governance.
|
E214458
|
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: William Burke-White | Statement: [University of Pennsylvania Law School, hasNotableFaculty, William Burke-White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Burke-White Context triple: [University of Pennsylvania Law School, hasNotableFaculty, William Burke-White]
-
A.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
B.
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
C.
Geoffrey Beevers
Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
-
D.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
E.
Charles Askowith
Charles Askowith was the designer responsible for creating the modern flag of Israel.
- 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: William Burke-White Triple: [University of Pennsylvania Law School, hasNotableFaculty, William Burke-White]
Generated description
William Burke-White is an American legal scholar and professor known for his work in international law, foreign policy, and global governance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Burke-White Target entity description: William Burke-White is an American legal scholar and professor known for his work in international law, foreign policy, and global governance.
-
A.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
B.
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
C.
Geoffrey Beevers
Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
-
D.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
E.
Charles Askowith
Charles Askowith was the designer responsible for creating the modern flag of Israel.
- 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_69a907d7cbf48190be40590a7f9fa1de |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3b2c2788190a22c3b45dedb1484 |
completed | March 8, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69adf452ab488190b5d57e3b04159408 |
completed | March 8, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4bdb6dc8190964e5e78abfb8e40 |
completed | March 8, 2026, 10:14 p.m. |
Created at: March 4, 2026, 7:26 p.m.