Triple
T35915547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Johnston |
E1038736
|
entity |
| Predicate | roleAtAnthropic |
P184915
|
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: [Scott Johnston, roleAtAnthropic, co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtAnthropic Context triple: [Scott Johnston, roleAtAnthropic, co-founder]
-
A.
roleInGemini3
Indicates that an entity holds a specific role or function within the Gemini 3 mission or project.
-
B.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
-
C.
rolePurpose
Indicates the intended function, objective, or responsibility that a given role is meant to fulfill.
-
D.
roleDefines
Indicates that one role specifies, constrains, or determines the responsibilities, permissions, or behavior associated with another role or entity.
-
E.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: May 3, 2026, 4:07 p.m.