Triple
T1429519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Atom |
E30411
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Atom
Atom is a family of low-power x86 microprocessors developed by Intel, primarily designed for use in netbooks, embedded systems, and energy-efficient devices.
|
E163311
|
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: Atom | Statement: [Intel Atom, familyName, Atom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atom Context triple: [Intel Atom, familyName, Atom]
-
A.
Atom
Atom is a free and open-source text and source code editor developed by GitHub, known for its hackability, rich plugin ecosystem, and cross-platform support.
-
B.
Les Atomes
Les Atomes is a seminal scientific work by Jean Perrin that helped establish the reality of atoms through experimental evidence and clear popular exposition of atomic theory.
-
C.
Atombaupreis
The Atombaupreis was a German scientific award recognizing outstanding contributions to nuclear physics and atomic research.
-
D.
Atsi
Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
E.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
- 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: Atom Triple: [Intel Atom, familyName, Atom]
Generated description
Atom is a family of low-power x86 microprocessors developed by Intel, primarily designed for use in netbooks, embedded systems, and energy-efficient devices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atom Target entity description: Atom is a family of low-power x86 microprocessors developed by Intel, primarily designed for use in netbooks, embedded systems, and energy-efficient devices.
-
A.
Atom
Atom is a free and open-source text and source code editor developed by GitHub, known for its hackability, rich plugin ecosystem, and cross-platform support.
-
B.
Les Atomes
Les Atomes is a seminal scientific work by Jean Perrin that helped establish the reality of atoms through experimental evidence and clear popular exposition of atomic theory.
-
C.
Atombaupreis
The Atombaupreis was a German scientific award recognizing outstanding contributions to nuclear physics and atomic research.
-
D.
Atsi
Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
E.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4db2d7481908d241593d0e17d83 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad016930ec8190ab3900d6f40c4aa0 |
completed | March 8, 2026, 4:56 a.m. |
| NEDg | Description generation | batch_69ad01d1c01c81908917c4837ed2b393 |
completed | March 8, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0265f610819085a2dd293abd4812 |
completed | March 8, 2026, 5 a.m. |
Created at: March 1, 2026, 8 p.m.