Triple
T36407203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basil Hallward's portrait |
E896777
|
entity |
| Predicate | timeOfCreationInStory |
P194720
|
FINISHED |
| Object | when Dorian Gray is a young man |
—
|
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: when Dorian Gray is a young man | Statement: [Basil Hallward's portrait, timeOfCreationInStory, when Dorian Gray is a young man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfCreationInStory Context triple: [Basil Hallward's portrait, timeOfCreationInStory, when Dorian Gray is a young man]
-
A.
timeOfCreationInFiction
chosen
Indicates the point in fictional time at which a work, event, or entity within a narrative is depicted as being created.
-
B.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
C.
hasTimeInStory
Indicates that a story element, event, or entity occurs or is present during a specific time or time interval within the narrative.
-
D.
timeSinceCometEventInStory
Indicates the amount of time that has passed since a comet-related event occurred within the narrative of the story.
-
E.
timeTravelExperimentDateInStory
Indicates the date on which a time travel experiment occurs within the narrative timeline of the story.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:10 p.m.