Triple
T1271390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Scarlet |
E15716
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Will Scathelock
Will Scathelock is a legendary member of Robin Hood’s band of outlaws, better known in popular folklore as Will Scarlet.
|
E167379
|
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: Will Scathelock | Statement: [Will Scarlet, alternativeName, Will Scathelock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Scathelock Context triple: [Will Scarlet, alternativeName, Will Scathelock]
-
A.
Michael Sexton
Michael Sexton is an American businessman best known for co-founding and running the controversial real estate training venture Trump University alongside Donald Trump.
-
B.
Jack Driscoll
Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
-
C.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
D.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
E.
Jarvis Hunt
Jarvis Hunt was a prominent American architect known for designing significant railroad stations and public buildings in the late 19th and early 20th centuries.
- 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: Will Scathelock Triple: [Will Scarlet, alternativeName, Will Scathelock]
Generated description
Will Scathelock is a legendary member of Robin Hood’s band of outlaws, better known in popular folklore as Will Scarlet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Scathelock Target entity description: Will Scathelock is a legendary member of Robin Hood’s band of outlaws, better known in popular folklore as Will Scarlet.
-
A.
Michael Sexton
Michael Sexton is an American businessman best known for co-founding and running the controversial real estate training venture Trump University alongside Donald Trump.
-
B.
Jack Driscoll
Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
-
C.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
D.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
E.
Jarvis Hunt
Jarvis Hunt was a prominent American architect known for designing significant railroad stations and public buildings in the late 19th and early 20th centuries.
- 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_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_69ad0e6027448190b10c65bcafe9fedf |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad100fc7108190bf5211fb5817ca5f |
completed | March 8, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad105a9bcc8190ba6d14df99ff2a7a |
completed | March 8, 2026, 5:59 a.m. |
Created at: March 1, 2026, 7:50 p.m.