Triple
T16707163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Snyder |
E405999
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Tomorrow Show |
E800795
|
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: The Tomorrow Show | Statement: [Tom Snyder, notableWork, The Tomorrow Show]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Tomorrow Show Context triple: [Tom Snyder, notableWork, The Tomorrow Show]
-
A.
The Tomorrow Show
chosen
The Tomorrow Show was an American late-night television talk show hosted by Tom Snyder that aired on NBC during the 1970s and early 1980s.
-
B.
Good Morning America
Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
-
C.
The Today Show
The Today Show is a long-running American morning television news and talk program on NBC featuring news, interviews, weather, and lifestyle segments.
-
D.
The Now Show
The Now Show is a long-running BBC Radio 4 comedy series that satirically reviews the week's news through sketches, stand-up, and musical segments.
-
E.
The Jane Pauley Show
The Jane Pauley Show was a short-lived American daytime talk show hosted by veteran journalist Jane Pauley in the mid-2000s.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3833695908190afd4d2ece233be00 |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a50eac81908af26a5131bf0a6c |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.