Triple
T20094192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manawatū District |
E496354
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Helen Worboys
Helen Worboys is a New Zealand local-body politician who has served as the mayor of the Manawatū District.
|
E1411911
|
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: Helen Worboys | Statement: [Manawatū District, mayor, Helen Worboys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Worboys Context triple: [Manawatū District, mayor, Helen Worboys]
-
A.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
B.
Elizabeth Dowdeswell
Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
-
C.
Alison Winter
Alison Winter is a film and television producer known for her work on projects such as the thriller "Locked Down."
-
D.
Philippa Goslett
Philippa Goslett is a British screenwriter and producer known for her work on films such as the biblical drama "Mary Magdalene" (2018).
-
E.
Alison Bashford
Alison Bashford is a prominent Australian historian known for her influential work on global history, environmental history, and the history of science, medicine, and population.
- 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: Helen Worboys Triple: [Manawatū District, mayor, Helen Worboys]
Generated description
Helen Worboys is a New Zealand local-body politician who has served as the mayor of the Manawatū District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Worboys Target entity description: Helen Worboys is a New Zealand local-body politician who has served as the mayor of the Manawatū District.
-
A.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
B.
Elizabeth Dowdeswell
Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
-
C.
Alison Winter
Alison Winter is a film and television producer known for her work on projects such as the thriller "Locked Down."
-
D.
Philippa Goslett
Philippa Goslett is a British screenwriter and producer known for her work on films such as the biblical drama "Mary Magdalene" (2018).
-
E.
Alison Bashford
Alison Bashford is a prominent Australian historian known for her influential work on global history, environmental history, and the history of science, medicine, and population.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666a7a94819080ebabfba9762f97 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082709bec8819085418d3d93108d81 |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a08287484c4819089414c2780377ba7 |
completed | May 16, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082a4275e48190b6643e43399d97af |
completed | May 16, 2026, 8:26 a.m. |
Created at: April 11, 2026, 11:23 p.m.