Triple
T1786171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Newman |
E39396
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Randall |
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: Randall | Statement: [Randy Newman, givenName, Randall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randall Context triple: [Randy Newman, givenName, Randall]
-
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.
Dale
Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
-
D.
Rodney
Rodney is the middle name of James R. Schlesinger, a prominent American economist and government official who served as U.S. Secretary of Defense and the first Secretary of Energy.
-
E.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650d304481908ad9bff3eadf7da6 |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a476448190b072361fe4b41537 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:32 p.m.