Triple
T9434150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Hungerford Keate Macie |
E227458
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Keate
Keate is an English surname historically associated with several notable figures in British public and cultural life.
|
E799167
|
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: Keate | Statement: [Elizabeth Hungerford Keate Macie, hasFamilyName, Keate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keate Context triple: [Elizabeth Hungerford Keate Macie, hasFamilyName, Keate]
-
A.
Pitoa
Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
-
B.
Tuatapere
Tuatapere is a small rural town in New Zealand’s Southland region, known as a gateway to the Hump Ridge Track and for its forestry and farming heritage.
-
C.
Ruakākā
Ruakākā is a small coastal town in New Zealand known for its long sandy beach, surf breaks, and proximity to the Marsden Point industrial area.
-
D.
Aokautere
Aokautere is a residential suburb located on the outskirts of Palmerston North in the Manawatū region of New Zealand.
-
E.
Maungawhau
Maungawhau is the Māori name for Mount Eden, a prominent volcanic cone and landmark in Auckland, New Zealand, with deep cultural significance to local Māori.
- 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: Keate Triple: [Elizabeth Hungerford Keate Macie, hasFamilyName, Keate]
Generated description
Keate is an English surname historically associated with several notable figures in British public and cultural life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keate Target entity description: Keate is an English surname historically associated with several notable figures in British public and cultural life.
-
A.
Pitoa
Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
-
B.
Tuatapere
Tuatapere is a small rural town in New Zealand’s Southland region, known as a gateway to the Hump Ridge Track and for its forestry and farming heritage.
-
C.
Ruakākā
Ruakākā is a small coastal town in New Zealand known for its long sandy beach, surf breaks, and proximity to the Marsden Point industrial area.
-
D.
Aokautere
Aokautere is a residential suburb located on the outskirts of Palmerston North in the Manawatū region of New Zealand.
-
E.
Maungawhau
Maungawhau is the Māori name for Mount Eden, a prominent volcanic cone and landmark in Auckland, New Zealand, with deep cultural significance to local Māori.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e62d53c81908055e0967e6cd54d |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104514d481908d7cb9a87a01f1e2 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d1115ed8c48190af02a8ec38c8e2b9 |
completed | April 4, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111f3190c8190ba2fe5687212da25 |
completed | April 4, 2026, 1:28 p.m. |
Created at: March 30, 2026, 7:49 p.m.