Triple
T45067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linus Pauling |
E885
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Linus
Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
|
E9851
|
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: Linus | Statement: [Linus Pauling, givenName, Linus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linus Context triple: [Linus Pauling, givenName, Linus]
-
A.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
B.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
-
C.
Ted
Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
-
D.
Stewie Griffin
Stewie Griffin is a diabolically intelligent, British-accented infant from the animated TV series "Family Guy," known for his advanced vocabulary, world-domination schemes, and dark humor.
-
E.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
- 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: Linus Triple: [Linus Pauling, givenName, Linus]
Generated description
Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linus Target entity description: Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
-
A.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
B.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
-
C.
Ted
Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
-
D.
Stewie Griffin
Stewie Griffin is a diabolically intelligent, British-accented infant from the animated TV series "Family Guy," known for his advanced vocabulary, world-domination schemes, and dark humor.
-
E.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24af153b08190b0875b86d591d473 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c17a9888190b8222d661165bd9f |
completed | Feb. 28, 2026, 4:16 a.m. |
| NEDg | Description generation | batch_69a26d277ea881908612b8d07ace7e63 |
completed | Feb. 28, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a27148b83081908ee3f8479f63ac06 |
completed | Feb. 28, 2026, 4:38 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.