Triple
T21578166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Constable |
E532453
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Constable
Constable is an English surname most famously associated with John Constable, the renowned 19th-century landscape painter.
|
E1491196
|
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: Constable | Statement: [John Constable, familyName, Constable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constable Context triple: [John Constable, familyName, Constable]
-
A.
Constable
Constable is the entry-level sworn police rank in New Zealand, responsible for frontline law enforcement and community policing duties.
-
B.
Constable
The Constable of Portugal was one of the highest military offices in the Portuguese kingdom, traditionally serving as the kingdom’s chief military commander under the monarch.
-
C.
Constable
Constable was a prominent British publishing house known for issuing major literary works in the 18th and 19th centuries.
-
D.
Constable Lee
Constable Lee is a small settlement in the Rossendale borough of Lancashire, England.
-
E.
Constable Kockenlocker
Constable Kockenlocker is a bumbling yet well-meaning small-town lawman and overprotective father in Preston Sturges’s screwball comedy film "The Miracle of Morgan’s Creek."
- 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: Constable Triple: [John Constable, familyName, Constable]
Generated description
Constable is an English surname most famously associated with John Constable, the renowned 19th-century landscape painter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Constable Target entity description: Constable is an English surname most famously associated with John Constable, the renowned 19th-century landscape painter.
-
A.
Constable
Constable was a prominent British publishing house known for issuing major literary works in the 18th and 19th centuries.
-
B.
Constable
Constable is the entry-level sworn police rank in New Zealand, responsible for frontline law enforcement and community policing duties.
-
C.
Constable
The Constable of Portugal was one of the highest military offices in the Portuguese kingdom, traditionally serving as the kingdom’s chief military commander under the monarch.
-
D.
Constable Lee
Constable Lee is a small settlement in the Rossendale borough of Lancashire, England.
-
E.
Constable Kockenlocker
Constable Kockenlocker is a bumbling yet well-meaning small-town lawman and overprotective father in Preston Sturges’s screwball comedy film "The Miracle of Morgan’s Creek."
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5ac1048190aa45d7d3c780b5c9 |
completed | April 27, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f67889bc81908d640cbe0bc4b121 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f70d94308190b1c8f11e0a93b883 |
completed | May 17, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f7f91058819081d7230042ec080c |
completed | May 17, 2026, 5:16 p.m. |
Created at: April 16, 2026, 6:31 p.m.