Triple
T32892088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Kan |
E841359
|
entity |
| Predicate | roleAtJustin.tv |
P178853
|
FINISHED |
| Object | co-founder |
—
|
LITERAL FINISHED |
How this triple was built (2 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: co-founder | Statement: [Justin Kan, roleAtJustin.tv, co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtJustin.tv Context triple: [Justin Kan, roleAtJustin.tv, co-founder]
-
A.
roleAtTwitch
Indicates the specific position, function, or capacity an entity holds within the Twitch platform or organization.
-
B.
roleAtVuuugle
Indicates the specific position, job, or function an entity holds within the organization or company named Vuuugle.
-
C.
roleInChannelDash
Indicates that an entity holds a specific role or permission level within a particular communication channel or group.
-
D.
roleInZoom
Indicates that an entity has a specific role or function within a Zoom meeting or Zoom-related context.
-
E.
roleAtStreamlit
Indicates the specific role, position, or job function an entity holds within the organization Streamlit.
- F. None of above. chosen
Provenance (4 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: May 1, 2026, 1:18 a.m.