Triple
T12078820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Lauer |
E287623
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Today |
E10952
|
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: Today | Statement: [Matt Lauer, notableWork, Today]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Today Context triple: [Matt Lauer, notableWork, Today]
-
A.
Today
chosen
Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
-
B.
Today
Today is BBC Radio 4’s leading early-morning news and current affairs programme, featuring in-depth interviews, reports, and analysis of national and international events.
-
C.
Today
"Today" is a popular 1960s folk song by The New Christy Minstrels, known for its gentle melody and romantic lyrics.
-
D.
Today
"Today" is a 1967 folk-rock ballad by Jefferson Airplane, known for its gentle melody and prominent place on their influential album "Surrealistic Pillow."
-
E.
Today
"Today" is a pioneering 1929 Soviet documentary film by Esfir Shub that exemplifies her innovative use of found footage to deliver sharp social and political commentary.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045e81f88190be2b1aabd93f077c |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66301f081909697f9dd444a099e |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.