Triple

T13425189
Position Surface form Disambiguated ID Type / Status
Subject Anthropic E313461 entity
Predicate foundedBy P104 FINISHED
Object Sam McCandlish E499177 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: Sam McCandlish | Statement: [Anthropic, foundedBy, Sam McCandlish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam McCandlish
Context triple: [Anthropic, foundedBy, Sam McCandlish]
  • A. Sam McCandlish chosen
    Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
  • B. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • C. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • D. Matthew Shafer
    Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
  • E. Sam Healy
    Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed066408190a416880affd8416e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac78104881909ea8d41cfb8d4574 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:40 p.m.