Triple
T15096714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Lake-Tack |
E360557
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Rodney Williams |
E360558
|
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: Rodney Williams | Statement: [Louise Lake-Tack, successor, Rodney Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney Williams Context triple: [Louise Lake-Tack, successor, Rodney Williams]
-
A.
Rodney Williams
chosen
Rodney Williams is an Antiguan politician and medical doctor who has served as the Governor-General of Antigua and Barbuda.
-
B.
Rodney Williams
Rodney Williams is the reserved, aging civil servant at the heart of the 2022 film "Living," whose quiet life is upended when he confronts his mortality and searches for meaning.
-
C.
Len Williams
Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
-
D.
Rodney Barnes
Rodney Barnes is an American television writer and producer known for his work on series such as "Winning Time: The Rise of the Lakers Dynasty" and "The Boondocks."
-
E.
Mike Williams
Mike Williams is a Swedish computer scientist best known as one of the creators of the Erlang programming language.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005466e9c8190a68e1fbeb8922b1a |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef88bc8088190a357657c461f761d |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:04 a.m.