Triple
T14591664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redland City |
E342461
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Karen Williams
Karen Williams is an Australian local government politician who has served as the long-term mayor of Redland City in Queensland.
|
E1205596
|
NE FINISHED |
How this triple was built (4 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: Karen Williams | Statement: [Redland City, mayor, Karen Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Williams Context triple: [Redland City, mayor, Karen Williams]
-
A.
Maria Williams
Maria Williams is known as the spouse of former West Indies cricketer Chester Williams.
-
B.
Ann Williams
Ann Williams is an American dancer, choreographer, and arts educator best known as the founder and longtime artistic director of the Dallas Black Dance Theatre.
-
C.
Ann Williams
Ann Williams is a performer known for her featured role in the Broadway musical revue "Applause."
-
D.
Kate Williams
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
-
E.
Kate Williams
Kate Williams is a film editor known for her work on the acclaimed independent drama "Frozen River."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karen Williams Triple: [Redland City, mayor, Karen Williams]
Generated description
Karen Williams is an Australian local government politician who has served as the long-term mayor of Redland City in Queensland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Williams Target entity description: Karen Williams is an Australian local government politician who has served as the long-term mayor of Redland City in Queensland.
-
A.
Maria Williams
Maria Williams is known as the spouse of former West Indies cricketer Chester Williams.
-
B.
Ann Williams
Ann Williams is an American dancer, choreographer, and arts educator best known as the founder and longtime artistic director of the Dallas Black Dance Theatre.
-
C.
Ann Williams
Ann Williams is a performer known for her featured role in the Broadway musical revue "Applause."
-
D.
Kate Williams
Kate Williams is a film editor known for her work on the acclaimed independent drama "Frozen River."
-
E.
Kate Williams
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
- F. None of above. chosen
Provenance (5 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4249af08190962009741d1f7d41 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f79c6ac81909935dace3dcc8bea |
completed | May 10, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a00217cba8c819098b038579eb51957 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00221262288190b154d2e2c318d162 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 1:24 a.m.