Triple
T5958507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl von Linde |
E132575
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Carl
Carl is the given name of Carl von Linde, the German engineer and inventor known for pioneering refrigeration and gas liquefaction technologies.
|
E557716
|
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: Carl | Statement: [Carl von Linde, givenName, Carl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Context triple: [Carl von Linde, givenName, Carl]
-
A.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
B.
Carl
Carl is a central character in the British comedy film "The Boat That Rocked," portrayed as a young man who joins a pirate radio ship in the 1960s and comes of age amid its rebellious DJs and rock music culture.
-
C.
Carl
Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
-
D.
Carl
Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
-
E.
Carl
Carl is the given name of Carl Bernstein, the American investigative journalist renowned for his reporting on the Watergate scandal.
- 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: Carl Triple: [Carl von Linde, givenName, Carl]
Generated description
Carl is the given name of Carl von Linde, the German engineer and inventor known for pioneering refrigeration and gas liquefaction technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Target entity description: Carl is the given name of Carl von Linde, the German engineer and inventor known for pioneering refrigeration and gas liquefaction technologies.
-
A.
Carl
Carl is the given name of Nobel Prize–winning physicist Carl E. Wieman, known for his work on Bose–Einstein condensates and physics education research.
-
B.
Carl
Carl is the given name of Peter Carl Fabergé, the renowned Russian jeweler famous for creating the Imperial Fabergé eggs.
-
C.
Carl
Carl is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician of the Classical period.
-
D.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
E.
Carl
Carl is the given name of the 19th-century German mathematician Carl Gustav Jacob Jacobi, renowned for his foundational work in elliptic functions and other areas of mathematics.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c48d0c81908e794c52fddf2ca2 |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3e3736c8190b445156f0c1bdf1f |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0ec751abc8190a1f6d09e8c47cd59 |
completed | March 23, 2026, 7:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0ed1871a88190a2894e7e156478d7 |
completed | March 23, 2026, 7:34 a.m. |
Created at: March 22, 2026, 4:02 p.m.