Triple
T10888338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrie Chase |
E257110
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Barrie
Barrie is the given name of American dancer and actress Barrie Chase, known for her work with Fred Astaire and in classic Hollywood films.
|
E895995
|
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: Barrie | Statement: [Barrie Chase, givenName, Barrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrie Context triple: [Barrie Chase, givenName, Barrie]
-
A.
Barrie
Barrie is a mid-sized city in central Ontario, Canada, located on the western shore of Lake Simcoe and known as a growing regional hub for commuters, industry, and recreation.
-
B.
Cobourg
Cobourg is a small town in Ontario, Canada, known for its historic downtown, sandy beach, and picturesque waterfront along Lake Ontario.
-
C.
Oshawa
Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
-
D.
Guelph
Guelph is a mid-sized Canadian city known for its strong manufacturing base, historic architecture, and the University of Guelph.
-
E.
St. Catharines
St. Catharines is a city in southern Ontario, Canada, known for its location near Niagara Falls and its role as a regional commercial and manufacturing center.
- 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: Barrie Triple: [Barrie Chase, givenName, Barrie]
Generated description
Barrie is the given name of American dancer and actress Barrie Chase, known for her work with Fred Astaire and in classic Hollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barrie Target entity description: Barrie is the given name of American dancer and actress Barrie Chase, known for her work with Fred Astaire and in classic Hollywood films.
-
A.
Barrie
Barrie is a mid-sized city in central Ontario, Canada, located on the western shore of Lake Simcoe and known as a growing regional hub for commuters, industry, and recreation.
-
B.
Cobourg
Cobourg is a small town in Ontario, Canada, known for its historic downtown, sandy beach, and picturesque waterfront along Lake Ontario.
-
C.
Oshawa
Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
-
D.
Guelph
Guelph is a mid-sized Canadian city known for its strong manufacturing base, historic architecture, and the University of Guelph.
-
E.
St. Catharines
St. Catharines is a city in southern Ontario, Canada, known for its location near Niagara Falls and its role as a regional commercial and manufacturing center.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75202b7248190adeb5780fc5b9199 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b9e5ddc81908cbd27e8db49dbaf |
completed | April 17, 2026, 1:54 p.m. |
| NEDg | Description generation | batch_69e2453f6f008190847298f4006290f7 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e288b1d64c8190b31313634b706d0a |
completed | April 17, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:21 p.m.