Triple
T27782240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave McFly |
E699363
|
entity |
| Predicate | appearsInTimelineType |
P132698
|
FINISHED |
| Object | original 1985 timeline |
—
|
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: original 1985 timeline | Statement: [Dave McFly, appearsInTimelineType, original 1985 timeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInTimelineType Context triple: [Dave McFly, appearsInTimelineType, original 1985 timeline]
-
A.
appearsInTimePeriodDepicted
Indicates that something is present or occurs within the specific time period that is depicted or represented.
-
B.
entersTimeline
Indicates that an entity begins to appear or be included at a specific point within a timeline or chronological sequence.
-
C.
appearsInTimePeriod
Indicates that an entity is present, active, or occurs within a specified time period.
-
D.
appearsInContinuity
chosen
Indicates that an entity is part of, or occurs within, a specific narrative continuity or canon timeline.
-
E.
appearsInEpisodeType
Indicates that an entity is featured in, or associated with, a specific type or category of episode.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 5:11 p.m.