Triple
T1271389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Scarlet |
E15716
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Will Scarlett |
E15716
|
NE FINISHED |
How this triple was built (2 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: Will Scarlett | Statement: [Will Scarlet, alternativeName, Will Scarlett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Scarlett Context triple: [Will Scarlet, alternativeName, Will Scarlett]
-
A.
Will Scarlet
chosen
Will Scarlet is a legendary member of Robin Hood’s Merry Men, often portrayed as a dashing, hot-headed outlaw skilled with the sword.
-
B.
Lennox Cato
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
-
C.
Anthony Skingsley
Anthony Skingsley was a senior Royal Air Force officer who rose to high command during the late 20th century, overseeing key aspects of the UK's air defense.
-
D.
Longshanks
Longshanks is the nickname of King Edward I of England, known for his tall stature, military campaigns in Wales and Scotland, and significant legal and administrative reforms.
-
E.
Gawen Lawrie
Gawen Lawrie was a 17th-century English Quaker and colonial proprietor who played a key role in the early settlement and governance of West Jersey in North America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998b819c8190ad5a4095d31b5cb1 |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.