Triple
T13647082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larz Anderson Park |
E326130
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Larz Anderson |
E657431
|
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: Larz Anderson | Statement: [Larz Anderson Park, namedAfter, Larz Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larz Anderson Context triple: [Larz Anderson Park, namedAfter, Larz Anderson]
-
A.
Larz Anderson
chosen
Larz Anderson was a wealthy American diplomat and socialite from Boston, known for his extensive automobile collection and philanthropic legacy.
-
B.
Elwood Bredell
Elwood Bredell was an American cinematographer best known for his work on classic Hollywood films and film noir in the 1930s and 1940s.
-
C.
Alvin Marks
Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
-
D.
Fred Fisher
Fred Fisher was an American automobile-body manufacturer and entrepreneur best known as a co-founder of the Fisher Body Company, which became a major supplier to General Motors.
-
E.
Jerry Wald
Jerry Wald was an American film producer and screenwriter known for his influential work in Hollywood during the 1930s–1950s, including several acclaimed dramas and film noirs.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af948408190bca7f2e46863391e |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.