Triple
T32962079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time of Friendship |
E843264
|
entity |
| Predicate | hasComponentWorkType |
P67922
|
FINISHED |
| Object | short story |
—
|
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: short story | Statement: [The Time of Friendship, hasComponentWorkType, short story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentWorkType Context triple: [The Time of Friendship, hasComponentWorkType, short story]
-
A.
hasWorkTypeRelation
Indicates a relationship specifying the type or category of work associated with an entity.
-
B.
hasComponentWork
chosen
Indicates that one work includes another work as a constituent or subordinate component within it.
-
C.
hasRoleInWorkType
Indicates that an entity holds a specific role or function within a particular type or category of work.
-
D.
hasSignificantWorkType
Indicates that an entity is associated with a primary or notably important type or category of work.
-
E.
hasTypeOfWorkingGroup
Indicates that an entity is associated with or classified under a specific type or category of working group.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:21 a.m.