Triple
T11088412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Tierney |
E262184
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | NewsRadio |
E813277
|
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: NewsRadio | Statement: [Maura Tierney, notableWork, NewsRadio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NewsRadio Context triple: [Maura Tierney, notableWork, NewsRadio]
-
A.
NewsRadio
chosen
NewsRadio is an American sitcom that humorously portrays the eccentric staff and chaotic workplace of a New York City AM news radio station.
-
B.
Radio News
Radio News was a pioneering early 20th-century American magazine that popularized radio technology and broadcasting for hobbyists and engineers.
-
C.
Newsradio 1060
Newsradio 1060 is a long-running all-news radio service in Philadelphia known for continuous local, national, and traffic coverage.
-
D.
TuneIn
TuneIn is a streaming service that provides live radio, music, news, sports, and podcasts from stations and creators around the world across multiple devices and platforms.
-
E.
Radio
"Radio" is a pop-R&B song by Beyoncé from her album *I Am... Sasha Fierce*, celebrating the personal and emotional impact of listening to music on the radio.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7b68ca88190a26ee54eb873c9cf |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.