Triple
T12888963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Elizabeth Horsley |
E308306
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Horsley
Horsley is an English surname borne by various notable individuals across fields such as science, the arts, and public life.
|
E1009224
|
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: Horsley | Statement: [Mary Elizabeth Horsley, familyName, Horsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horsley Context triple: [Mary Elizabeth Horsley, familyName, Horsley]
-
A.
Ewart
Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
-
B.
Medlicott
Medlicott is the given name of Henry Benedict Medlicott St John, 5th Viscount Bolingbroke, a member of the British peerage.
-
C.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
D.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
E.
Moorfield
Moorfield is a given name most notably borne by Moorfield Storey, an American lawyer and civil rights leader who served as the first president of the NAACP.
- 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: Horsley Triple: [Mary Elizabeth Horsley, familyName, Horsley]
Generated description
Horsley is an English surname borne by various notable individuals across fields such as science, the arts, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Horsley Target entity description: Horsley is an English surname borne by various notable individuals across fields such as science, the arts, and public life.
-
A.
Ewart
Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
-
B.
Medlicott
Medlicott is the given name of Henry Benedict Medlicott St John, 5th Viscount Bolingbroke, a member of the British peerage.
-
C.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
D.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
E.
Moorfield
Moorfield is a given name most notably borne by Moorfield Storey, an American lawyer and civil rights leader who served as the first president of the NAACP.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714581988190afc720ffd7797860 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5598ad08190bad57ccfb4e4e2b6 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a62ca8b48190b3a1483801fe5bb9 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a82cdf648190aaad99d2951f22b3 |
completed | May 3, 2026, 1:43 a.m. |
Created at: April 9, 2026, 5:39 p.m.