Triple
T19833003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Indoors |
E476508
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object |
Mason – Shaun Brown
Mason, portrayed by Shaun Brown, is a socially awkward yet endearing millennial tech expert on the sitcom "The Great Indoors."
|
E1397562
|
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 – Shaun Brown | Statement: [The Great Indoors, characterPortrayedBy, Mason – Shaun Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mason – Shaun Brown Context triple: [The Great Indoors, characterPortrayedBy, Mason – Shaun Brown]
-
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 is the central protagonist of the work "Vicious," around whom the story’s main conflicts and developments revolve.
-
D.
Mason
Mason is the central protagonist of "Soldiers of Fortune," around whom the story’s military-themed action and character development revolve.
-
E.
Mason
Mason is an Australian jurist who served as Chief Justice of the High Court of Australia and played a key role in landmark decisions such as Mabo v Queensland (No 2).
- 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 – Shaun Brown Triple: [The Great Indoors, characterPortrayedBy, Mason – Shaun Brown]
Generated description
Mason, portrayed by Shaun Brown, is a socially awkward yet endearing millennial tech expert on the sitcom "The Great Indoors."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mason – Shaun Brown Target entity description: Mason, portrayed by Shaun Brown, is a socially awkward yet endearing millennial tech expert on the sitcom "The Great Indoors."
-
A.
Mason
Mason is a common English surname of occupational origin, historically referring to a stoneworker or builder.
-
B.
Mason
Mason is an Australian jurist who served as Chief Justice of the High Court of Australia and played a key role in landmark decisions such as Mabo v Queensland (No 2).
-
C.
Mason
Mason is the given first name of Red Cashion, the famed American NFL referee known for his exuberant "First down!" calls.
-
D.
Mason
Mason is the central protagonist of the work "Vicious," around whom the story’s main conflicts and developments revolve.
-
E.
Mason
Mason is the central protagonist of "Soldiers of Fortune," around whom the story’s military-themed action and character development revolve.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccd9b71c81909002a92d0e826510 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07cfa7121881908e3256a035f0fffb |
completed | May 16, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d0aacc1481908f9b4d96ce34d88b |
completed | May 16, 2026, 2:04 a.m. |
Created at: April 10, 2026, 1:50 p.m.