Triple
T1534394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto streetcar system |
E32517
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Leslie Barns
Leslie Barns is a modern streetcar maintenance and storage facility in Toronto that supports the city’s light rail fleet.
|
E190819
|
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: Leslie Barns | Statement: [Toronto streetcar system, depot, Leslie Barns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Barns Context triple: [Toronto streetcar system, depot, Leslie Barns]
-
A.
Leslie Harter
Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
-
B.
Leslie Fenton
Leslie Fenton was a British-born American actor and film director active in Hollywood during the early to mid-20th century.
-
C.
Nancy Gates
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
-
D.
Barbara Duncan
Barbara Duncan was the second wife of Harry Hopkins, a key advisor to U.S. President Franklin D. Roosevelt during the New Deal and World War II.
-
E.
Laurie Logue
Laurie Logue is one of the children of Australian speech therapist Lionel Logue, who is renowned for helping King George VI overcome his stammer.
- 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: Leslie Barns Triple: [Toronto streetcar system, depot, Leslie Barns]
Generated description
Leslie Barns is a modern streetcar maintenance and storage facility in Toronto that supports the city’s light rail fleet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leslie Barns Target entity description: Leslie Barns is a modern streetcar maintenance and storage facility in Toronto that supports the city’s light rail fleet.
-
A.
Leslie Harter
Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
-
B.
Leslie Fenton
Leslie Fenton was a British-born American actor and film director active in Hollywood during the early to mid-20th century.
-
C.
Nancy Gates
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
-
D.
Barbara Duncan
Barbara Duncan was the second wife of Harry Hopkins, a key advisor to U.S. President Franklin D. Roosevelt during the New Deal and World War II.
-
E.
Laurie Logue
Laurie Logue is one of the children of Australian speech therapist Lionel Logue, who is renowned for helping King George VI overcome his stammer.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61f8df00819086f34847e2170e12 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad797907ac81908ede43626798827d |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7a1223fc8190b7d62217c17f7517 |
completed | March 8, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b0787c88190a59a815fa808ac6b |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:26 p.m.