Triple
T3032460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Holt |
E82928
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Holt |
E290203
|
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: Holt | Statement: [Lester Holt, familyName, Holt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holt Context triple: [Lester Holt, familyName, Holt]
-
A.
Holt
chosen
Holt is a historic market town in the county of Norfolk, England, known for its Georgian architecture and proximity to the North Norfolk coast.
-
B.
Magruder
Magruder is a surname most notably associated with Jeb Stuart Magruder, a key figure in the Watergate scandal during the Nixon administration.
-
C.
Holt, Rinehart and Winston
Holt, Rinehart and Winston is an American publishing company known for producing a wide range of educational textbooks and notable works of literature.
-
D.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
E.
Hurd & Houghton
Hurd & Houghton was a 19th-century American publishing firm that became part of the lineage leading to the modern educational and trade publisher Houghton Mifflin.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aefc2dc8190ad9b349ca45b7e30 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1debfa51881909e41c55774bbccf9 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3:01 p.m.