Triple
T28923894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice Lawrence Wargrave |
E733591
|
entity |
| Predicate | plansLocation |
P44626
|
FINISHED |
| Object |
Soldier Island
Soldier Island is the isolated, fictional setting off the coast of Devon where the events of Agatha Christie’s mystery novel "And Then There Were None" take place.
|
E1839236
|
NE FINISHED |
How this triple was built (3 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: Soldier Island | Statement: [Justice Lawrence Wargrave, plansLocation, Soldier Island]
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: Soldier Island Triple: [Justice Lawrence Wargrave, plansLocation, Soldier Island]
Generated description
Soldier Island is the isolated, fictional setting off the coast of Devon where the events of Agatha Christie’s mystery novel "And Then There Were None" take place.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plansLocation Context triple: [Justice Lawrence Wargrave, plansLocation, Soldier Island]
-
A.
locationOfPlanning
chosen
Indicates the place or setting where the planning activity or process occurs.
-
B.
plannedLocation
Indicates the intended or scheduled location where an entity is expected to be or an event is planned to occur.
-
C.
countryPlanningAgency
Indicates that a given organization functions as a governmental or official body responsible for planning and development activities within a specific country.
-
D.
decisionPlace
Indicates the location where a decision is made or formally determined.
-
E.
generalateLocation
Indicates the location where a generalate (central administrative headquarters of a religious or similar organization) is situated.
- F. None of above.
Provenance (6 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b1d1c688190b035919575bb2164 |
completed | May 2, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24d41f1b3481908de0d8b3bb518564 |
completed | June 7, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_6a24d8b850a48190a9c2618c63fd5f50 |
completed | June 7, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a24dc7507e881908586b8a971c9be80 |
completed | June 7, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:22 a.m.