Triple
T7393906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unix Text Processing |
E170572
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | nroff |
E662017
|
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: nroff | Statement: [Unix Text Processing, relatedTo, nroff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nroff Context triple: [Unix Text Processing, relatedTo, nroff]
-
A.
nroff
chosen
nroff is a classic Unix text-formatting program used to prepare documents for display on terminals and line printers.
-
B.
troff
troff is a classic Unix text formatting and typesetting program used to produce high-quality printed documents from plain text source files.
-
C.
NRO
NRO is the United States government agency responsible for designing, building, and operating the nation’s reconnaissance satellites and related intelligence systems.
-
D.
The METAFONTbook
The METAFONTbook is Donald Knuth’s comprehensive manual and reference guide to the METAFONT system for designing and programming digital typefaces.
-
E.
The TeXbook
The TeXbook is Donald Knuth’s authoritative manual and tutorial on the TeX typesetting system, widely regarded as the definitive reference for learning and using TeX.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2263b48819089319a2a2f0d3357 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ecf65388190a149efc77aedcd91 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:09 p.m.