Triple
T12952990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Lastman Square |
E309938
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mel Lastman |
E153094
|
NE FINISHED |
How this triple was built (2 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: Mel Lastman | Statement: [Mel Lastman Square, namedAfter, Mel Lastman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Lastman Context triple: [Mel Lastman Square, namedAfter, Mel Lastman]
-
A.
Mel Lastman
chosen
Mel Lastman was a Canadian businessman and politician best known as the first mayor of the amalgamated City of Toronto, serving from 1998 to 2003 after a long tenure as mayor of North York.
-
B.
Dov Hoenig
Dov Hoenig is a film editor known for his work on major Hollywood movies, including the neo-noir science fiction film "Dark City."
-
C.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
-
D.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
E.
Ron Talsky
Ron Talsky was an American costume designer known for his work on numerous film and television productions, particularly in the 1960s and 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1edcdc8190a702c2a5ea58cc67 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0f0b4c08190a6cb0a098ca6d67b |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:44 p.m.