Triple
T15631055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex/Life |
E375811
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Adam Demos
Adam Demos is an Australian actor best known internationally for his role in the Netflix series "Sex/Life."
|
E1168879
|
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: Adam Demos | Statement: [Sex/Life, castMember, Adam Demos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Demos Context triple: [Sex/Life, castMember, Adam Demos]
-
A.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
B.
Eric Jumper
Eric Jumper is an American engineer and researcher best known for his pioneering scientific investigations into the Shroud of Turin as part of the Shroud of Turin Research Project.
-
C.
Jon Oberheide
Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
-
D.
Nick Mathewson
Nick Mathewson is a computer scientist and software developer best known as a co-founder and core architect of the Tor anonymity network.
-
E.
Ron Bevirt
Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
- 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: Adam Demos Triple: [Sex/Life, castMember, Adam Demos]
Generated description
Adam Demos is an Australian actor best known internationally for his role in the Netflix series "Sex/Life."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Demos Target entity description: Adam Demos is an Australian actor best known internationally for his role in the Netflix series "Sex/Life."
-
A.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
B.
Eric Jumper
Eric Jumper is an American engineer and researcher best known for his pioneering scientific investigations into the Shroud of Turin as part of the Shroud of Turin Research Project.
-
C.
Jon Oberheide
Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
-
D.
Nick Mathewson
Nick Mathewson is a computer scientist and software developer best known as a co-founder and core architect of the Tor anonymity network.
-
E.
Ron Bevirt
Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f44f0b881909ce36823e4314799 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff636c481881909e76e1f0b5c8dbce |
completed | May 9, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff640112988190843c0739c8e1dc45 |
completed | May 9, 2026, 4:42 p.m. |
Created at: April 10, 2026, 4:14 a.m.