Triple
T20747107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margery Allingham |
E510614
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Allingham
Allingham is an English surname most notably associated with Margery Allingham, a prominent 20th-century crime and mystery novelist.
|
E1448626
|
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: Allingham | Statement: [Margery Allingham, familyName, Allingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allingham Context triple: [Margery Allingham, familyName, Allingham]
-
A.
Arkle
Arkle was a legendary Irish Thoroughbred racehorse widely regarded as one of the greatest steeplechasers in the history of National Hunt racing.
-
B.
Wilkie
Wilkie is a given name most famously associated with Victorian English novelist Wilkie Collins, a pioneer of detective and sensation fiction.
-
C.
Wedgeworth
Wedgeworth is a surname most notably associated with American actress Ann Wedgeworth, known for her work in film, television, and theater.
-
D.
Grahame
Grahame is a surname of English and Scottish origin borne by various notable individuals.
-
E.
John Cowper
John Cowper was the father of the renowned English poet and hymn-writer William Cowper, belonging to an 18th-century English clerical family.
- 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: Allingham Triple: [Margery Allingham, familyName, Allingham]
Generated description
Allingham is an English surname most notably associated with Margery Allingham, a prominent 20th-century crime and mystery novelist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allingham Target entity description: Allingham is an English surname most notably associated with Margery Allingham, a prominent 20th-century crime and mystery novelist.
-
A.
Arkle
Arkle was a legendary Irish Thoroughbred racehorse widely regarded as one of the greatest steeplechasers in the history of National Hunt racing.
-
B.
Wilkie
Wilkie is a given name most famously associated with Victorian English novelist Wilkie Collins, a pioneer of detective and sensation fiction.
-
C.
Wedgeworth
Wedgeworth is a surname most notably associated with American actress Ann Wedgeworth, known for her work in film, television, and theater.
-
D.
Grahame
Grahame is a surname of English and Scottish origin borne by various notable individuals.
-
E.
John Cowper
John Cowper was the father of the renowned English poet and hymn-writer William Cowper, belonging to an 18th-century English clerical family.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c225c564819088f2461467698095 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e84274d08190a851de1f415bcbc6 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8fc1d6c819083f06debaa3bec24 |
completed | May 16, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e98a594c8190b3a2d9ae7e3af4f7 |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 16, 2026, 12:33 p.m.