Triple
T25069392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Harper |
E627866
|
entity |
| Predicate | influencesMoodOfWork |
P72626
|
FINISHED |
| Object | tragic |
—
|
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: tragic | Statement: [The Harper, influencesMoodOfWork, tragic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencesMoodOfWork Context triple: [The Harper, influencesMoodOfWork, tragic]
-
A.
moodContrastWithinWork
Indicates a contrast or shift between different moods or emotional tones within the same work.
-
B.
workImpact
chosen
Indicates that one entity’s work has an effect or influence on another entity, situation, or outcome.
-
C.
genreOfWorkEnvironment
Indicates the type or style of work environment associated with a particular job, role, or organization.
-
D.
focusesOnWork
Indicates that an entity directs its attention, effort, or primary activity toward work-related tasks or responsibilities.
-
E.
reflectsOnWork
Indicates that an entity engages in thoughtful consideration or evaluation of their own work or work-related activities.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 6:10 a.m.