Triple
T5746559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charna |
E126746
|
entity |
| Predicate | appearsInTimePeriodWithinStory |
P6261
|
FINISHED |
| Object | Elaine Risley's childhood |
—
|
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: Elaine Risley's childhood | Statement: [Charna, appearsInTimePeriodWithinStory, Elaine Risley's childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInTimePeriodWithinStory Context triple: [Charna, appearsInTimePeriodWithinStory, Elaine Risley's childhood]
-
A.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
C.
timePeriodWithin
chosen
Indicates that one time period is entirely contained within the bounds of another time period.
-
D.
occurredIn
Indicates that an event or action took place within a specific location, context, or time frame.
-
E.
appearedThroughPeriod
Indicates that an entity was present or manifested continuously or recurrently throughout a specified time period.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.