Triple
T11540829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soap MacTavish |
E273668
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John "Soap" MacTavish is a fictional Scottish special forces soldier and key playable character in the Call of Duty: Modern Warfare video game series.
|
E933269
|
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: John | Statement: [Soap MacTavish, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [Soap MacTavish, givenName, John]
-
A.
John
John is the given name of John Nance Garner, who served as the 32nd vice president of the United States under President Franklin D. Roosevelt.
-
B.
John
John is the given name of John Cassin, a 19th-century American ornithologist known for his extensive work in classifying North American birds.
-
C.
John
John is the middle name of Paul J. Flory, the Nobel Prize–winning American chemist renowned for his pioneering work in polymer chemistry.
-
D.
John
John is the given name of the influential American jazz saxophonist and composer John Coltrane.
-
E.
John
John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
- 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: John Triple: [Soap MacTavish, givenName, John]
Generated description
John "Soap" MacTavish is a fictional Scottish special forces soldier and key playable character in the Call of Duty: Modern Warfare video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John "Soap" MacTavish is a fictional Scottish special forces soldier and key playable character in the Call of Duty: Modern Warfare video game series.
-
A.
John
John is the given name of the fictional character Trapper John McIntyre from the M*A*S*H franchise.
-
B.
John
John is the first name of John Marston, the iconic outlaw protagonist from the Red Dead Redemption video game series.
-
C.
John
John S. Mosby was a Confederate cavalry battalion commander in the American Civil War, famed for his swift and elusive guerrilla tactics that earned him the nickname “The Gray Ghost.”
-
D.
John
John is the given name of Scottish professional footballer John McGinn, a midfielder known for playing for Aston Villa and the Scotland national team.
-
E.
John
John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e7c75578819090a664aaa44cf933 |
completed | April 21, 2026, 2:58 a.m. |
| NEDg | Description generation | batch_69e6ef8fca248190bc2fdd8457258874 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f8ec88e88190bfa21c2d06d67bd8 |
completed | April 21, 2026, 4:11 a.m. |
Created at: April 8, 2026, 9:37 p.m.