Triple
T21767996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big M |
E537345
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | The Big M |
—
|
NE NERFINISHED |
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: The Big M | Statement: [The Big M, hasNickname, The Big M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big M Context triple: [The Big M, hasNickname, The Big M]
-
A.
The Big M
chosen
The Big M is a prominent harness racing track located at the Meadowlands Sports Complex in East Rutherford, New Jersey.
-
B.
The Big M
The Big M is the nickname of Frank Mahovlich, a Hall of Fame Canadian ice hockey left winger renowned for his scoring prowess in the NHL during the 1950s–1970s.
-
C.
The Big I
The Big I is the nickname for the original Charlotte Coliseum, a former major indoor sports and entertainment arena in Charlotte, North Carolina.
-
D.
The Big Thing
The Big Thing is a public sculpture in Chicago, Illinois, known for its bold, contemporary design and prominent placement in the city’s urban landscape.
-
E.
The Big Box
The Big Box is a children's book by Toni Morrison that explores themes of freedom and control through the story of three kids who are confined to a special room despite their good behavior.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ab57808190b9af6d8f0ead1051 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.