Triple
T4424905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perl |
E95185
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | sed |
E61963
|
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: sed | Statement: [Perl, influencedBy, sed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sed Context triple: [Perl, influencedBy, sed]
-
A.
GNU Sed
chosen
GNU Sed is the GNU Project’s free, open-source implementation of the stream editor `sed`, widely used for non-interactive text processing and transformation on Unix-like systems.
-
B.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
C.
egrep
egrep is a variant of the grep command-line utility that searches text using extended regular expressions for more powerful pattern matching.
-
D.
GNU Grep
GNU Grep is the GNU Project’s free, open-source implementation of the grep command-line utility used for fast text searching and pattern matching in files.
-
E.
The Silver Searcher
The Silver Searcher is a fast, command-line code-search tool (often invoked as `ag`) known for its speed and simplicity in searching large codebases.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.