Triple
T10365605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherfield Park |
E244242
|
entity |
| Predicate | firstMentionContext |
P53747
|
FINISHED |
| Object | news of Mr. Bingley taking the house |
—
|
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: news of Mr. Bingley taking the house | Statement: [Netherfield Park, firstMentionContext, news of Mr. Bingley taking the house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMentionContext Context triple: [Netherfield Park, firstMentionContext, news of Mr. Bingley taking the house]
-
A.
firstPublicationContext
Indicates the original context or setting (such as venue, medium, or circumstance) in which something was first published.
-
B.
firstDescriptionContext
chosen
Indicates the primary or initial situational context in which a description of something is given.
-
C.
firstOfficialReleaseContext
Indicates the context or setting (such as region, platform, or format) in which something was first officially released.
-
D.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
E.
firstContactContext
Indicates the circumstances or situation under which two entities first came into contact or interacted.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, noon