Triple
T2609499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Fifteen |
E58739
|
entity |
| Predicate | hasLeader |
P981
|
FINISHED |
| Object |
Thomas Forster
Thomas Forster is a Jacobite military leader best known for commanding the rebel forces during the 1715 Jacobite rising in England.
|
E282498
|
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: Thomas Forster | Statement: [the Fifteen, hasLeader, Thomas Forster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Forster Context triple: [the Fifteen, hasLeader, Thomas Forster]
-
A.
Crispin Wright
Crispin Wright is a prominent contemporary British philosopher best known for his influential work in the philosophy of language, logic, and mathematics, particularly on realism, anti-realism, and the nature of truth.
-
B.
Peter Johnstone
Peter Johnstone is a British mathematician renowned for his influential work in category theory and topos theory.
-
C.
Charles Morris
Charles Morris was a distinguished early 19th-century United States Navy officer noted for his valor and leadership during the War of 1812.
-
D.
Richard Sibson
Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
-
E.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
- 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: Thomas Forster Triple: [the Fifteen, hasLeader, Thomas Forster]
Generated description
Thomas Forster is a Jacobite military leader best known for commanding the rebel forces during the 1715 Jacobite rising in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Forster Target entity description: Thomas Forster is a Jacobite military leader best known for commanding the rebel forces during the 1715 Jacobite rising in England.
-
A.
Crispin Wright
Crispin Wright is a prominent contemporary British philosopher best known for his influential work in the philosophy of language, logic, and mathematics, particularly on realism, anti-realism, and the nature of truth.
-
B.
Peter Johnstone
Peter Johnstone is a British mathematician renowned for his influential work in category theory and topos theory.
-
C.
Charles Morris
Charles Morris was a distinguished early 19th-century United States Navy officer noted for his valor and leadership during the War of 1812.
-
D.
Richard Sibson
Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
-
E.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd868acc481909444c99a621cdbec |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e1efb88190b79c2c6ac0e87647 |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af84a15b5c8190bb68b6ff313adb6c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85aa5f548190a4ce1a4ff38ca5e3 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.