Triple
T7620020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norris |
E172464
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Norriss
Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
|
E676427
|
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: Norriss | Statement: [Norris, hasVariant, Norriss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norriss Context triple: [Norris, hasVariant, Norriss]
-
A.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
-
B.
Norg
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
-
C.
Syrdon
Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
-
D.
Nisseni
Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
-
E.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
- 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: Norriss Triple: [Norris, hasVariant, Norriss]
Generated description
Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norriss Target entity description: Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
-
A.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
-
B.
Norg
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
-
C.
Syrdon
Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
-
D.
Nisseni
Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
-
E.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa6148a88190be5150313fe23e7b |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86874d5e48190a07c48f667fb8f6e |
completed | March 28, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69c868d21b688190ba2f6ad849f4bde5 |
completed | March 28, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c869d14ae08190b2742af3878333e6 |
completed | March 28, 2026, 11:52 p.m. |
Created at: March 27, 2026, 3:55 p.m.