Triple
T38133830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metroland |
E952293
|
entity |
| Predicate | containsFlashforwardsTo |
P120743
|
FINISHED |
| Object | late-1970s suburban life |
—
|
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: late-1970s suburban life | Statement: [Metroland, containsFlashforwardsTo, late-1970s suburban life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFlashforwardsTo Context triple: [Metroland, containsFlashforwardsTo, late-1970s suburban life]
-
A.
hasFlashforwardEpisodes
chosen
Indicates that the work includes one or more episodes featuring flashforwards, i.e., scenes set in a future time relative to the main narrative.
-
B.
hasFlashbackStorylines
Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
-
C.
hasFictionalTimeAfter
Indicates that one fictional time point or period occurs later than another within a narrative or imagined timeline.
-
D.
consideredFlashpointBy
Indicates that something is regarded as a source of tension, conflict, or potential escalation by a particular party or group.
-
E.
portrayedInFlashbacks
Indicates that an entity appears or is depicted specifically within flashback scenes of a narrative work.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a02008fcf1c8190b5b6c285944c52e9 |
completed | May 11, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_6a01ffd3ba008190b6f026bd4e6b9a37 |
completed | May 11, 2026, 4:12 p.m. |
Created at: May 3, 2026, 4:21 p.m.