Triple
T35915630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Hubinger |
E1038739
|
entity |
| Predicate | hasPresentationOn |
P168767
|
FINISHED |
| Object | mesa-optimization |
—
|
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: mesa-optimization | Statement: [Evan Hubinger, hasPresentationOn, mesa-optimization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPresentationOn Context triple: [Evan Hubinger, hasPresentationOn, mesa-optimization]
-
A.
hasPresentation
Indicates that an entity delivers, contains, or is associated with a specific presentation (such as a talk, slide deck, or formal display of information).
-
B.
workPresentedOn
Indicates that a work (such as a paper, artwork, or project) was formally presented or showcased at a particular event, venue, or platform.
-
C.
presentedBefore
Indicates that one entity was formally shown, introduced, or displayed to an audience or recipient prior to another entity in time.
-
D.
hasGivenLecturesOn
chosen
Indicates that one entity has delivered or presented lectures on a particular subject, topic, or field to an audience.
-
E.
hasPresented
Indicates that one entity has formally given, delivered, or shown something (such as information, a work, or an award) to another entity.
- F. None of above.
Provenance (3 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_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.