Triple
T3156722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Today |
E66000
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The Today Show |
E66000
|
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 Today Show | Statement: [Today, alsoKnownAs, The Today Show]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Today Show Context triple: [Today, alsoKnownAs, The Today Show]
-
A.
The Today Show
chosen
The Today Show is a long-running American morning television news and talk program on NBC featuring news, interviews, weather, and lifestyle segments.
-
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.
America This Morning
America This Morning is an early-morning American news program on ABC that delivers national and international headlines, weather, and feature stories to viewers before the start of the regular broadcast day.
-
D.
CBS Mornings
CBS Mornings is a weekday morning news and talk program on CBS that features national and international news, interviews, and lifestyle segments.
-
E.
The Tonight Show
The Tonight Show is a long-running American late-night talk show featuring celebrity interviews, comedy sketches, and musical performances.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5eafa4c8190a65cc1312823144c |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b4e09388190b41da913f677ffb7 |
completed | March 12, 2026, 5:12 a.m. |
Created at: March 8, 2026, 3:05 p.m.