Triple
T20875066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Star |
E513997
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Radio City |
—
|
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: Radio City | Statement: [Big Star, notableWork, Radio City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radio City Context triple: [Big Star, notableWork, Radio City]
-
A.
Radio City Entertainment
Radio City Entertainment is a live entertainment company best known for producing large-scale stage shows and events associated with New York’s Radio City Music Hall, including the famed Rockettes performances.
-
B.
Radio City Music Hall
chosen
Radio City Music Hall is a historic New York City entertainment venue renowned for its Art Deco architecture, the Rockettes, and its iconic concerts and stage shows.
-
C.
Station Hall
Station Hall is a major exhibition space at the National Railway Museum in York, showcasing historic locomotives and carriages in a recreated railway station setting.
-
D.
Silverman Hall
Silverman Hall is a prominent academic and administrative building that serves as a central facility of the University of Pennsylvania Law School.
-
E.
Metro Hall
Metro Hall is a major municipal office complex in downtown Toronto that houses various city government departments and services.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674075081909e0819b20bdbb7f4 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.