Triple
T12288880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodard |
E292901
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Woodeward
Woodeward is an alternative spelling of the surname Woodard, which is of English origin.
|
E974989
|
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: Woodeward | Statement: [Woodard, hasVariantSpelling, Woodeward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodeward Context triple: [Woodard, hasVariantSpelling, Woodeward]
-
A.
Holmwood
Holmwood is a village in Surrey, England, situated within the Mole Valley district and known for its rural character and proximity to the North Downs.
-
B.
Whitwood
Whitwood is a residential and industrial area in West Yorkshire, England, situated on the outskirts of the town of Castleford.
-
C.
Blackwood
Blackwood is an unincorporated community and census-designated place in Camden County, New Jersey, known as a residential suburb within the Philadelphia metropolitan area.
-
D.
Blackwood
Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
-
E.
Warehorne
Warehorne is a small rural village and civil parish in the Ashford district of Kent, England, known for its historic church and 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: Woodeward Triple: [Woodard, hasVariantSpelling, Woodeward]
Generated description
Woodeward is an alternative spelling of the surname Woodard, which is of English origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woodeward Target entity description: Woodeward is an alternative spelling of the surname Woodard, which is of English origin.
-
A.
Holmwood
Holmwood is a village in Surrey, England, situated within the Mole Valley district and known for its rural character and proximity to the North Downs.
-
B.
Whitwood
Whitwood is a residential and industrial area in West Yorkshire, England, situated on the outskirts of the town of Castleford.
-
C.
Blackwood
Blackwood is an unincorporated community and census-designated place in Camden County, New Jersey, known as a residential suburb within the Philadelphia metropolitan area.
-
D.
Blackwood
Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
-
E.
Warehorne
Warehorne is a small rural village and civil parish in the Ashford district of Kent, England, known for its historic church and 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d21692481908c97edc3d602f1d5 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e752f3c8190ba0e273f3e41a321 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9493d081909a543bcafeb508d1 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f620ad9ec0819099909142fbad6412 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 8, 2026, 9:52 p.m.