Triple
T20090121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pr-Medjed |
E496245
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object |
Arthur Hunt
Arthur Hunt was an archaeologist known for his excavations in Egypt, particularly at sites associated with ancient cults and deities.
|
E1419657
|
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: Arthur Hunt | Statement: [Pr-Medjed, excavatedBy, Arthur Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Hunt Context triple: [Pr-Medjed, excavatedBy, Arthur Hunt]
-
A.
Nicholas Hunt
Nicholas Hunt is a British figure best known as the father of UK Conservative politician and former Foreign Secretary Jeremy Hunt.
-
B.
Jonathan Hunt
Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
-
C.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
-
D.
Jeremy Passmore
Jeremy Passmore is a screenwriter and filmmaker best known for co-writing the disaster film "San Andreas."
-
E.
Ian Harwood
Ian Harwood is a notable individual distinguished enough in his field or public life to be specifically recognized as a prominent bearer of the surname Harwood.
- 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: Arthur Hunt Triple: [Pr-Medjed, excavatedBy, Arthur Hunt]
Generated description
Arthur Hunt was an archaeologist known for his excavations in Egypt, particularly at sites associated with ancient cults and deities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Hunt Target entity description: Arthur Hunt was an archaeologist known for his excavations in Egypt, particularly at sites associated with ancient cults and deities.
-
A.
Nicholas Hunt
Nicholas Hunt is a British figure best known as the father of UK Conservative politician and former Foreign Secretary Jeremy Hunt.
-
B.
Jonathan Hunt
Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
-
C.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
-
D.
Jeremy Passmore
Jeremy Passmore is a screenwriter and filmmaker best known for co-writing the disaster film "San Andreas."
-
E.
Ian Harwood
Ian Harwood is a notable individual distinguished enough in his field or public life to be specifically recognized as a prominent bearer of the surname Harwood.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655e1ef0819095f40a1ce2eb17b7 |
completed | April 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b761ce08190b92227994897ed07 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c74632c81909480eac174fdcad3 |
completed | May 16, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084d2161cc81908e1b5993cea934a0 |
completed | May 16, 2026, 10:55 a.m. |
Created at: April 11, 2026, 11:20 p.m.