Triple
T10194610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soldiers of Fortune |
E238128
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mason
Mason is the central protagonist of "Soldiers of Fortune," around whom the story’s military-themed action and character development revolve.
|
E847600
|
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: Mason | Statement: [Soldiers of Fortune, mainCharacter, Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mason Context triple: [Soldiers of Fortune, mainCharacter, Mason]
-
A.
Mason
Mason is the given first name of Red Cashion, the famed American NFL referee known for his exuberant "First down!" calls.
-
B.
Mason
Mason is a common English surname of occupational origin, historically referring to a stoneworker or builder.
-
C.
Mason
Mason was an early 20th-century American automobile marque produced under the Durant Motors company, known for manufacturing mid-priced cars during the 1920s.
-
D.
Mason
Mason is the central protagonist of the work "Vicious," around whom the story’s main conflicts and developments revolve.
-
E.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
- 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: Mason Triple: [Soldiers of Fortune, mainCharacter, Mason]
Generated description
Mason is the central protagonist of "Soldiers of Fortune," around whom the story’s military-themed action and character development revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mason Target entity description: Mason is the central protagonist of "Soldiers of Fortune," around whom the story’s military-themed action and character development revolve.
-
A.
Mason
Mason is the given first name of Red Cashion, the famed American NFL referee known for his exuberant "First down!" calls.
-
B.
Mason
Mason is a common English surname of occupational origin, historically referring to a stoneworker or builder.
-
C.
Mason
Mason was an early 20th-century American automobile marque produced under the Durant Motors company, known for manufacturing mid-priced cars during the 1920s.
-
D.
Mason
Mason is the central protagonist of the work "Vicious," around whom the story’s main conflicts and developments revolve.
-
E.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc7cc748190bceb8f657afcc054 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317dbfb7c819087aafc7161b14707 |
completed | April 6, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69d319670c6c8190b77257340ec8e6d4 |
completed | April 6, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31d371e948190ac6d31daad2afbdf |
completed | April 6, 2026, 2:40 a.m. |
Created at: March 30, 2026, 9:13 p.m.