Triple
T12621647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Randal Cremer |
E301393
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cremer
Cremer is a surname most notably associated with William Randal Cremer, a British politician and Nobel Peace Prize laureate recognized for his work in international arbitration.
|
E992870
|
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: Cremer | Statement: [William Randal Cremer, familyName, Cremer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cremer Context triple: [William Randal Cremer, familyName, Cremer]
-
A.
de Kremer
de Kremer is the original family surname of the renowned 16th-century Flemish cartographer Gerardus Mercator.
-
B.
Kretzmer
Kretzmer is a surname most notably associated with Herbert Kretzmer, the South African-born British journalist and lyricist known for his work on the musical Les Misérables.
-
C.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
-
D.
Loerzer
Loerzer is the surname of Bruno Loerzer, a notable German First World War flying ace and later Luftwaffe general.
-
E.
Cresserons
Cresserons is a small commune in the Calvados department of the Normandy region in northwestern France.
- 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: Cremer Triple: [William Randal Cremer, familyName, Cremer]
Generated description
Cremer is a surname most notably associated with William Randal Cremer, a British politician and Nobel Peace Prize laureate recognized for his work in international arbitration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cremer Target entity description: Cremer is a surname most notably associated with William Randal Cremer, a British politician and Nobel Peace Prize laureate recognized for his work in international arbitration.
-
A.
de Kremer
de Kremer is the original family surname of the renowned 16th-century Flemish cartographer Gerardus Mercator.
-
B.
Kretzmer
Kretzmer is a surname most notably associated with Herbert Kretzmer, the South African-born British journalist and lyricist known for his work on the musical Les Misérables.
-
C.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
-
D.
Loerzer
Loerzer is the surname of Bruno Loerzer, a notable German First World War flying ace and later Luftwaffe general.
-
E.
Cresserons
Cresserons is a small commune in the Calvados department of the Normandy region in northwestern France.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed6f79881908872c644a9789f04 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f660294004819089714099a08085f6 |
completed | May 2, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:14 p.m.