Triple
T4389077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dario Amodei |
E99318
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Anthropic |
E313461
|
NE 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: Anthropic | Statement: [Dario Amodei, employer, Anthropic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthropic Context triple: [Dario Amodei, employer, Anthropic]
-
A.
Anthropic
chosen
Anthropic is an American artificial intelligence company known for developing advanced AI systems and research focused on safety and alignment.
-
B.
Lucid
Lucid is the surname of American biochemist and NASA astronaut Shannon Lucid, known for her long-duration spaceflights and record-setting time spent in orbit.
-
C.
Cosm
Cosm is a hard science fiction novel by Gregory Benford that explores the discovery of an artificial universe and its scientific and philosophical implications.
-
D.
anthropic principle
The anthropic principle is a philosophical and scientific idea that explains the universe’s observed properties by noting they must be compatible with the existence of observers like us.
-
E.
Cosmic
Cosmic is a humorous children's novel by Frank Cottrell-Boyce about an unusually tall boy who ends up impersonating an adult on a space tourism adventure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35281900c8190882e9ccfa44ab86f |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e52d63c08190bc98c090cfe0ff1c |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:19 p.m.