Triple

T35915638
Position Surface form Disambiguated ID Type / Status
Subject Evan Hubinger E1038739 entity
Predicate hasTalkOn P3281 FINISHED
Object AI alignment at EAG conferences 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: AI alignment at EAG conferences | Statement: [Evan Hubinger, hasTalkOn, AI alignment at EAG conferences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTalkOn
Context triple: [Evan Hubinger, hasTalkOn, AI alignment at EAG conferences]
  • A. hasSpokenAbout chosen
    Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
  • B. hasSpeakerIn
    Indicates that an event, work, or communication features a particular entity serving as its speaker.
  • C. spokenOn
    Indicates that an utterance or speech act occurred at or during a specific time or date.
  • D. spokeAt
    Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
  • E. hasVoiceIn
    Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
  • 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_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c475c58c8190a883554231e88c88 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:07 p.m.