Triple
T2718399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Recreation |
E60021
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object | Rockwell Cage |
E208
|
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: Rockwell Cage | Statement: [MIT Recreation, hasFacility, Rockwell Cage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rockwell Cage Context triple: [MIT Recreation, hasFacility, Rockwell Cage]
-
A.
Rockwell Cage
chosen
Rockwell Cage is an indoor athletic facility at the Massachusetts Institute of Technology that serves as the primary venue for the MIT Engineers’ home sports events.
-
B.
Russell Vought
Russell Vought is an American political operative and policy advisor who served as Director of the Office of Management and Budget under President Donald Trump.
-
C.
Carl Ellsworth
Carl Ellsworth is an American screenwriter known for writing suspense and thriller films such as "Red Eye" and "Disturbia."
-
D.
Michael Sidney Luft
Michael Sidney Luft was an American show business figure best known as a film producer and the third husband and manager of entertainer Judy Garland.
-
E.
Skip Woods
Skip Woods is an American screenwriter and film producer known for writing action films such as "Swordfish," "Hitman," and "A Good Day to Die Hard."
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaad577c8190819d3c641c2406f4 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68ebd0081908bb360872d559e1f |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.