Triple
T12078806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Lauer |
E287623
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Matthew Todd Lauer |
E287623
|
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: Matthew Todd Lauer | Statement: [Matt Lauer, fullName, Matthew Todd Lauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Todd Lauer Context triple: [Matt Lauer, fullName, Matthew Todd Lauer]
-
A.
Matt Lauer
chosen
Matt Lauer is an American television journalist and former longtime co-host of NBC's "Today" show.
-
B.
Paul Robach
Paul Robach is a family member of American television journalist and former ABC News anchor Amy Robach.
-
C.
Jonathan Karl
Jonathan Karl is an American political journalist and author best known as ABC News’ chief Washington correspondent and a frequent host of the Sunday public affairs program "This Week."
-
D.
Lowell Thomas
Lowell Thomas was an American writer, broadcaster, and traveler best known for popularizing T. E. Lawrence (“Lawrence of Arabia”) through his lectures and radio programs.
-
E.
John Fortenberry
John Fortenberry is an American film and television director best known for helming the comedy film "A Night at the Roxbury" and working on various popular TV comedies.
- 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.