Triple
T11937792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time Machine (narrative device in The Naked and the Dead) |
E284090
|
entity |
| Predicate | readerEffect |
P95128
|
FINISHED |
| Object | deepens understanding of characters’ motivations |
—
|
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: deepens understanding of characters’ motivations | Statement: [The Time Machine (narrative device in The Naked and the Dead), readerEffect, deepens understanding of characters’ motivations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readerEffect Context triple: [The Time Machine (narrative device in The Naked and the Dead), readerEffect, deepens understanding of characters’ motivations]
-
A.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
-
B.
readerReception
chosen
Indicates how readers interpret, respond to, or are affected by a particular text or work.
-
C.
reading
Indicates that an entity is engaged in the activity of interpreting and understanding written or printed material from another entity or source.
-
D.
readingSystem
Indicates a system or device that presents, interprets, or processes written or digital content for a user.
-
E.
readBehavior
Indicates that one entity engages in the act or manner of reading something, capturing how that reading is performed or characterized.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903094218819092e11b273d87de65 |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.