Triple
T20994648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Box Hill picnic |
E517115
|
entity |
| Predicate | consequenceForCharacter |
P40708
|
FINISHED |
| Object | Emma Woodhouse becomes more self-aware |
—
|
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: Emma Woodhouse becomes more self-aware | Statement: [Box Hill picnic, consequenceForCharacter, Emma Woodhouse becomes more self-aware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceForCharacter Context triple: [Box Hill picnic, consequenceForCharacter, Emma Woodhouse becomes more self-aware]
-
A.
narrativeConsequence
chosen
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
B.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
C.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
D.
consequenceInText
Indicates that one event, action, or state is presented in the text as a consequence or result of another.
-
E.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1e75188190a97114238ea0b4f9 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.