Triple
T7393876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unix Text Processing |
E170572
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object |
nroff
nroff is a classic Unix text-formatting program used to prepare documents for display on terminals and line printers.
|
E662017
|
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: nroff | Statement: [Unix Text Processing, subject, nroff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nroff Context triple: [Unix Text Processing, subject, nroff]
-
A.
NRO
NRO is the United States government agency responsible for designing, building, and operating the nation’s reconnaissance satellites and related intelligence systems.
-
B.
The METAFONTbook
The METAFONTbook is Donald Knuth’s comprehensive manual and reference guide to the METAFONT system for designing and programming digital typefaces.
-
C.
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.
-
D.
.nf
.nf is the country code top-level domain (ccTLD) assigned to Norfolk Island for use in internet addresses.
-
E.
RNR
RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
- 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: nroff Triple: [Unix Text Processing, subject, nroff]
Generated description
nroff is a classic Unix text-formatting program used to prepare documents for display on terminals and line printers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: nroff Target entity description: nroff is a classic Unix text-formatting program used to prepare documents for display on terminals and line printers.
-
A.
NRO
NRO is the United States government agency responsible for designing, building, and operating the nation’s reconnaissance satellites and related intelligence systems.
-
B.
The METAFONTbook
The METAFONTbook is Donald Knuth’s comprehensive manual and reference guide to the METAFONT system for designing and programming digital typefaces.
-
C.
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.
-
D.
.nf
.nf is the country code top-level domain (ccTLD) assigned to Norfolk Island for use in internet addresses.
-
E.
RNR
RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
- 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_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_69c810f82ba08190919924b0994a2eee |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811f1fe3c8190a591186b19044b5f |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c812c1e9d08190b0e7f052d87011b9 |
completed | March 28, 2026, 5:41 p.m. |
Created at: March 27, 2026, 3:09 p.m.