Triple
T21700155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Annenberg |
E535633
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | TV Guide |
—
|
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: TV Guide | Statement: [Walter Annenberg, notableWork, TV Guide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Guide Context triple: [Walter Annenberg, notableWork, TV Guide]
-
A.
TV Guide
chosen
TV Guide is a long-running American weekly magazine and digital platform that provides television program listings, entertainment news, and industry features.
-
B.
TV Nation
TV Nation is a satirical television news magazine created by Michael Moore that blends documentary-style reporting with political and social commentary.
-
C.
TV listings magazine Hörzu
TV listings magazine Hörzu is a long-running and influential German television guide known for organizing the prestigious Goldene Kamera entertainment awards.
-
D.
TV Times
TV Times is a long-running British television listings magazine known for its program schedules, features, and interviews related to UK TV.
-
E.
TV Quick
TV Quick is a British television listings magazine known for covering popular TV shows and presenting the annual TV Quick Awards.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7edd3c8190bca83ef37598cbfb |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:45 p.m.