Triple
T7977577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George McFly |
E185483
|
entity |
| Predicate | causeOfTimelineChange |
P694
|
FINISHED |
| Object | Marty McFly’s time travel to 1955 |
—
|
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: Marty McFly’s time travel to 1955 | Statement: [George McFly, causeOfTimelineChange, Marty McFly’s time travel to 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfTimelineChange Context triple: [George McFly, causeOfTimelineChange, Marty McFly’s time travel to 1955]
-
A.
reasonForChange
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
B.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
C.
causeOfChangeOfDestination
Indicates that one entity is the reason or trigger for another entity changing its intended destination.
-
D.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
E.
notableChange
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.