Triple
T8828286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linus’s Law |
E210070
|
entity |
| Predicate | firstDescribedInMedium |
P18027
|
FINISHED |
| Object | essay |
—
|
LITERAL 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: essay | Statement: [Linus’s Law, firstDescribedInMedium, essay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDescribedInMedium Context triple: [Linus’s Law, firstDescribedInMedium, essay]
-
A.
firstDescribedAs
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
B.
introducedInMedium
chosen
Indicates that an entity first appears or is initially presented within a specified medium (such as a book, film, game, or other format).
-
C.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
-
D.
firstAppearanceMedium
Indicates the medium (such as book, film, or game) in which an entity first appeared.
-
E.
firstPublishedWith
Indicates that an entity was initially published together with another specified entity, sharing the same first publication event.
- F. None of above.
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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604ac0288190b59344bced8ac733 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.