Triple
T5421471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Postel’s law |
E121260
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Postel principle |
E121260
|
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: Postel principle | Statement: [Postel’s law, alsoKnownAs, Postel principle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Postel principle Context triple: [Postel’s law, alsoKnownAs, Postel principle]
-
A.
Postel’s law
chosen
Postel’s law is a design principle in computing and networking that advises systems to be conservative in what they send and liberal in what they accept, promoting robustness and interoperability.
-
B.
Postel
Postel is a surname most prominently associated with Jon Postel, a pioneering computer scientist and key architect of the early Internet.
-
C.
Linus’s Law
Linus’s Law is the open-source software development principle that “given enough eyeballs, all bugs are shallow,” emphasizing the power of many reviewers to quickly find and fix defects.
-
D.
Cunningham's Law
Cunningham's Law is an internet adage stating that the best way to get the right answer online is not to ask a question, but to post the wrong answer.
-
E.
KISS principle
The KISS principle is a design and problem-solving guideline that advocates keeping systems and solutions as simple as possible to improve clarity, reliability, and maintainability.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab7f6b481908fead172fbdafe36 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.