Triple
T2487870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall |
E55969
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Randalll |
E55969
|
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: Randalll | Statement: [Randall, hasVariant, Randalll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randalll Context triple: [Randall, hasVariant, Randalll]
-
A.
Randall
chosen
Randall is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
B.
Randi
Randi is a feminine given name most notably borne by Randi Zuckerberg, an American businesswoman and former Facebook executive.
-
C.
Randal
Randal is the given first name of American politician and physician Rand Paul.
-
D.
Randall Lane
Randall Lane is an American journalist and media executive best known as the editor-in-chief of Forbes magazine.
-
E.
Robert Richard Randall
Robert Richard Randall was a wealthy 19th-century New York philanthropist and sea captain whose bequest established a charitable sailors’ retirement home that later evolved into the Snug Harbor Cultural Center and Botanical Garden.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd179c44881909cd6c7626cadaf10 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17bca6f88190a63672fb3372f0be |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.