Triple
T10462372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey |
E246706
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Humphery
Humphery is a given name and surname, most commonly recognized as a spelling variant of Humphrey.
|
E865129
|
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: Humphery | Statement: [Humphrey, hasVariant, Humphery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humphery Context triple: [Humphrey, hasVariant, Humphery]
-
A.
Harold Saxon
Harold Saxon is an alias used by the Master, a recurring Time Lord villain in the Doctor Who television series, during his tenure as a manipulative British politician.
-
B.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
C.
Ranulph
Ranulph is the given name of Sir Ranulph Fiennes, the renowned British explorer and adventurer known for his polar expeditions and endurance feats.
-
D.
Mortimer
Mortimer is a masculine given name of Old French origin, historically associated with English nobility and later borne by various notable figures in philosophy, literature, and the arts.
-
E.
Mortimer
Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
- 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: Humphery Triple: [Humphrey, hasVariant, Humphery]
Generated description
Humphery is a given name and surname, most commonly recognized as a spelling variant of Humphrey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Humphery Target entity description: Humphery is a given name and surname, most commonly recognized as a spelling variant of Humphrey.
-
A.
Harold Saxon
Harold Saxon is an alias used by the Master, a recurring Time Lord villain in the Doctor Who television series, during his tenure as a manipulative British politician.
-
B.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
C.
Ranulph
Ranulph is the given name of Sir Ranulph Fiennes, the renowned British explorer and adventurer known for his polar expeditions and endurance feats.
-
D.
Mortimer
Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
-
E.
Mortimer
Mortimer is a masculine given name of Old French origin, historically associated with English nobility and later borne by various notable figures in philosophy, literature, and the arts.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50884fac48190af22e181b1492557 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fcc84b48190a39de0d9b9111ebd |
completed | April 10, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_69d8a1656b348190ba932d03402d6a4d |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2b82bb48190899f37a967fef444 |
completed | April 10, 2026, 7:11 a.m. |
Created at: April 6, 2026, 12:19 p.m.