Triple
T22241743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law |
E549738
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Robin Law
Robin Law is a British historian and academic known for his influential research on the history of West Africa, particularly the Kingdom of Dahomey and the Atlantic slave trade.
|
E1526555
|
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: Robin Law | Statement: [Law, hasNotableBearer, Robin Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Law Context triple: [Law, hasNotableBearer, Robin Law]
-
A.
Ken Lowe
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
-
B.
Jeff Lawson
Jeff Lawson is an American entrepreneur and software developer best known as the co-founder and former CEO of cloud communications platform Twilio.
-
C.
John Harwood
John Harwood is an American journalist best known for his political reporting and analysis for major news outlets such as The Wall Street Journal, CNBC, and CNN.
-
D.
Rick Laird
Rick Laird was an Irish jazz and fusion bassist best known for his work with the pioneering jazz-rock group the Mahavishnu Orchestra.
-
E.
Graham Knight
Graham Knight is a musician best known as a member of the Scottish pop rock band The Marmalade.
- 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: Robin Law Triple: [Law, hasNotableBearer, Robin Law]
Generated description
Robin Law is a British historian and academic known for his influential research on the history of West Africa, particularly the Kingdom of Dahomey and the Atlantic slave trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robin Law Target entity description: Robin Law is a British historian and academic known for his influential research on the history of West Africa, particularly the Kingdom of Dahomey and the Atlantic slave trade.
-
A.
Ken Lowe
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
-
B.
Jeff Lawson
Jeff Lawson is an American entrepreneur and software developer best known as the co-founder and former CEO of cloud communications platform Twilio.
-
C.
John Harwood
John Harwood is an American journalist best known for his political reporting and analysis for major news outlets such as The Wall Street Journal, CNBC, and CNN.
-
D.
Rick Laird
Rick Laird was an Irish jazz and fusion bassist best known for his work with the pioneering jazz-rock group the Mahavishnu Orchestra.
-
E.
Graham Knight
Graham Knight is a musician best known as a member of the Scottish pop rock band The Marmalade.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132150a3c81908eba0683819e26d0 |
completed | April 28, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab658d0bc81909f2b828296b20068 |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab6ec0b5c819091e5c71354fef0b6 |
completed | May 18, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7bb6fbc81909e54be3d1ae98cbf |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 16, 2026, 8:38 p.m.