Triple
T8036360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Power of Love |
E187117
|
entity |
| Predicate | openingSceneUse |
P78700
|
FINISHED |
| Object | Marty McFly skateboarding sequence in Back to the Future |
—
|
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 skateboarding sequence in Back to the Future | Statement: [The Power of Love, openingSceneUse, Marty McFly skateboarding sequence in Back to the Future]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingSceneUse Context triple: [The Power of Love, openingSceneUse, Marty McFly skateboarding sequence in Back to the Future]
-
A.
openingSituation
Indicates the initial state, context, or set of conditions that exist at the beginning of an event, interaction, or narrative.
-
B.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
C.
openingSequenceType
chosen
Indicates the specific kind or category of an opening sequence associated with an entity or event.
-
D.
openingInvocation
Indicates the act of formally beginning an event, process, or sequence through an initiating statement, action, or call.
-
E.
openingBegan
Indicates that the process of opening something has started.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef68c6081908727d17238b3522a |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:22 p.m.