Triple
T12116463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stow, Ohio, United States |
E288574
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Joshua Stow
Joshua Stow was an early American land agent and pioneer credited with founding and lending his name to the city of Stow, Ohio.
|
E969058
|
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: Joshua Stow | Statement: [Stow, Ohio, United States, namedAfter, Joshua Stow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshua Stow Context triple: [Stow, Ohio, United States, namedAfter, Joshua Stow]
-
A.
Joshua Luke Johnston
Joshua Luke Johnston is the son of acclaimed American stage and screen actress Patti LuPone.
-
B.
Joshua Brookes
Joshua Brookes was an English anatomist and naturalist known for his extensive anatomical collections and contributions to zoological nomenclature.
-
C.
Joshua St Johnston
Joshua St Johnston is a screenwriter best known for his work on the British film "Walking on Sunshine."
-
D.
Joshua Cordes
Joshua Cordes is a screenwriter best known for co-writing the science fiction film "Skyline."
-
E.
Jared Rushton
Jared Rushton is an American former child actor best known for his roles in 1980s films such as "Big" and "Honey, I Shrunk the Kids."
- 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: Joshua Stow Triple: [Stow, Ohio, United States, namedAfter, Joshua Stow]
Generated description
Joshua Stow was an early American land agent and pioneer credited with founding and lending his name to the city of Stow, Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joshua Stow Target entity description: Joshua Stow was an early American land agent and pioneer credited with founding and lending his name to the city of Stow, Ohio.
-
A.
Joshua Luke Johnston
Joshua Luke Johnston is the son of acclaimed American stage and screen actress Patti LuPone.
-
B.
Joshua Brookes
Joshua Brookes was an English anatomist and naturalist known for his extensive anatomical collections and contributions to zoological nomenclature.
-
C.
Joshua St Johnston
Joshua St Johnston is a screenwriter best known for his work on the British film "Walking on Sunshine."
-
D.
Joshua Cordes
Joshua Cordes is a screenwriter best known for co-writing the science fiction film "Skyline."
-
E.
Jared Rushton
Jared Rushton is an American former child actor best known for his roles in 1980s films such as "Big" and "Honey, I Shrunk the Kids."
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:49 p.m.