Triple
T13425205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthropic |
E313461
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Nicholas Schiefer
Nicholas Schiefer is a computer scientist and entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
|
E1120358
|
NE FINISHED |
How this triple was built (4 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: Nicholas Schiefer | Statement: [Anthropic, foundedBy, Nicholas Schiefer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Schiefer Context triple: [Anthropic, foundedBy, Nicholas Schiefer]
-
A.
Nicholas Wittman
Nicholas Wittman is an actor best known for his role in the television series "Mars."
-
B.
Nicholas Siegel
Nicholas Siegel is an American actor known for his role in the film "For Those in Peril."
-
C.
Nicholas Knisely
Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
-
D.
Nicholas Wahl
Nicholas Wahl was the husband of British painter Charlotte Johnson Wahl and a member of the extended Johnson family connected to former UK Prime Minister Boris Johnson.
-
E.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nicholas Schiefer Triple: [Anthropic, foundedBy, Nicholas Schiefer]
Generated description
Nicholas Schiefer is a computer scientist and entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas Schiefer Target entity description: Nicholas Schiefer is a computer scientist and entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
-
A.
Nicholas Wittman
Nicholas Wittman is an actor best known for his role in the television series "Mars."
-
B.
Nicholas Siegel
Nicholas Siegel is an American actor known for his role in the film "For Those in Peril."
-
C.
Nicholas Knisely
Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
-
D.
Nicholas Wahl
Nicholas Wahl was the husband of British painter Charlotte Johnson Wahl and a member of the extended Johnson family connected to former UK Prime Minister Boris Johnson.
-
E.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
- F. None of above. chosen
Provenance (5 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_69fe249c57bc819089baed544fb8fead |
completed | May 8, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_69fe272e37608190b7a0db34f15f28b3 |
completed | May 8, 2026, 6:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe278a3ff481909d98cd1bce8f867e |
completed | May 8, 2026, 6:12 p.m. |
Created at: April 9, 2026, 9:40 p.m.