Triple
T27531533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine |
E694983
|
entity |
| Predicate | timeOfStoryBeginning |
P113136
|
FINISHED |
| Object | September 1978 |
—
|
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: September 1978 | Statement: [Christine, timeOfStoryBeginning, September 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfStoryBeginning Context triple: [Christine, timeOfStoryBeginning, September 1978]
-
A.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
storyTime
Indicates that one entity is narrating or sharing a story with another entity, typically in a designated or scheduled period for storytelling.
-
C.
startTimeDepicted
Indicates that the subject visually represents the starting time of an event, process, or state.
-
D.
timeSpanOfContentsStart
chosen
Indicates the point in time when the contents associated with something begin.
-
E.
timeStartApprox
Indicates that the associated event or state begins at an approximate, rather than exact, point in time.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 1:26 p.m.