Triple
T8414432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU userland |
E198698
|
entity |
| Predicate | includesComponent |
P1393
|
FINISHED |
| Object | GNU Groff |
E662019
|
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: GNU Groff | Statement: [GNU userland, includesComponent, GNU Groff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNU Groff Context triple: [GNU userland, includesComponent, GNU Groff]
-
A.
Groff
Groff is a surname most prominently associated with American actor and singer Jonathan Groff, known for his work in musical theatre, television, and film.
-
B.
troff
chosen
troff is a classic Unix text formatting and typesetting program used to produce high-quality printed documents from plain text source files.
-
C.
nroff
nroff is a classic Unix text-formatting program used to prepare documents for display on terminals and line printers.
-
D.
Ghostscript
Ghostscript is a suite of software that interprets and renders PostScript and PDF files, widely used for document viewing, printing, and conversion.
-
E.
The METAFONTbook
The METAFONTbook is Donald Knuth’s comprehensive manual and reference guide to the METAFONT system for designing and programming digital typefaces.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce032a25ec819094c6346eb2a7f973 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.