Triple
T15991675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt |
E387842
|
entity |
| Predicate | influencedByNarrativeEvent |
P21288
|
FINISHED |
| Object | manipulative teenager’s arrival |
—
|
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: manipulative teenager’s arrival | Statement: [Matt, influencedByNarrativeEvent, manipulative teenager’s arrival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByNarrativeEvent Context triple: [Matt, influencedByNarrativeEvent, manipulative teenager’s arrival]
-
A.
eventInfluencedBy
chosen
Indicates that an event occurs or unfolds in a way that is causally or significantly affected by another entity, factor, or prior event.
-
B.
hasNarrativeEvent
Indicates that one entity includes, contains, or is associated with a specific narrative event within a story or sequence of events.
-
C.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
D.
influencesPlotOf
Indicates that one entity has an effect on or helps shape the storyline or narrative development of another entity.
-
E.
narrativeMoment
Indicates the specific point or phase within a narrative at which an event, action, or relationship occurs.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.