Triple
T18184250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tidyverse |
E435367
|
entity |
| Predicate | includesPackage |
P49317
|
FINISHED |
| Object |
magrittr
magrittr is an R package best known for introducing the pipe operator (%>%) that enables more readable, chainable data manipulation workflows.
|
E1311378
|
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: magrittr | Statement: [tidyverse, includesPackage, magrittr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: magrittr Context triple: [tidyverse, includesPackage, magrittr]
-
A.
MagE
MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
-
B.
MAGT
MAGT is the time zone abbreviation formerly used for Magadan Time in Russia.
-
C.
Magit
Magit is a powerful, interactive Git interface for the Emacs text editor that streamlines version control operations through a rich, keyboard-driven UI.
-
D.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
E.
MAG
MAG is the National Rail station code for Maghull railway station in Merseyside, England.
- 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: magrittr Triple: [tidyverse, includesPackage, magrittr]
Generated description
magrittr is an R package best known for introducing the pipe operator (%>%) that enables more readable, chainable data manipulation workflows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: magrittr Target entity description: magrittr is an R package best known for introducing the pipe operator (%>%) that enables more readable, chainable data manipulation workflows.
-
A.
MagE
MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
-
B.
MAGT
MAGT is the time zone abbreviation formerly used for Magadan Time in Russia.
-
C.
Magit
Magit is a powerful, interactive Git interface for the Emacs text editor that streamlines version control operations through a rich, keyboard-driven UI.
-
D.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
E.
MAG
MAG is the National Rail station code for Maghull railway station in Merseyside, England.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffd0abc81908cc07d28bdc3d48f |
completed | April 19, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0398032e3081909455845718c73b78 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a03990a2bec8190b5d6a472bc9bb3fb |
completed | May 12, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0399c98a88819090e579324d9423e5 |
completed | May 12, 2026, 9:21 p.m. |
Created at: April 10, 2026, 10:31 a.m.