Triple
T34993181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Nelson |
E1009448
|
entity |
| Predicate | titleInheritsFrom |
P23689
|
FINISHED |
| Object |
Viscount Nelson
Viscount Nelson is a British noble title originally created to honor Admiral Horatio Nelson, the famed Royal Navy hero of the Napoleonic Wars.
|
E326259
|
NE FINISHED |
How this triple was built (3 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: Viscount Nelson | Statement: [Earl Nelson, titleInheritsFrom, Viscount Nelson]
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: Viscount Nelson Triple: [Earl Nelson, titleInheritsFrom, Viscount Nelson]
Generated description
Viscount Nelson is a British noble title originally created to honor Admiral Horatio Nelson, the famed Royal Navy hero of the Napoleonic Wars.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInheritsFrom Context triple: [Earl Nelson, titleInheritsFrom, Viscount Nelson]
-
A.
typeOfTitleInheritance
Indicates the manner or rule by which a title is passed from one holder to another (e.g., hereditary, elective, or appointed succession).
-
B.
inheritsTitle
chosen
Indicates that one entity receives and assumes a formal title or rank previously held by another entity, typically through succession or inheritance.
-
C.
titleDerivedFrom
Indicates that the title of one entity is obtained or adapted from another entity.
-
D.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
E.
titleBasedIn
Indicates that a creative work’s title is derived from, inspired by, or directly taken from a particular source or context.
- F. None of above.
Provenance (6 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fafeed9c8190b792c64e372f4a62 |
completed | June 21, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_6a37fba05a5c8190bd8033d74b9e5d29 |
completed | June 21, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37fc5a3260819088e6dfc450a676a5 |
completed | June 21, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
Created at: May 3, 2026, 4:01 p.m.