Triple
T33232108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Runaway Skyscraper |
E850721
|
entity |
| Predicate | fictionalTimePeriodVisited |
P186300
|
FINISHED |
| Object | prehistoric Earth |
—
|
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: prehistoric Earth | Statement: [The Runaway Skyscraper, fictionalTimePeriodVisited, prehistoric Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalTimePeriodVisited Context triple: [The Runaway Skyscraper, fictionalTimePeriodVisited, prehistoric Earth]
-
A.
fictionalTime
Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
-
B.
existsInFictionalTimePeriod
chosen
Indicates that an entity is situated within, or associated with, a time period that is fictional rather than part of real-world history.
-
C.
fictionalTimeDepth
Indicates a relationship where an entity is associated with a time period or temporal depth that exists only within a fictional or imagined context.
-
D.
hasFictionalTimeAfter
Indicates that one fictional time point or period occurs later than another within a narrative or imagined timeline.
-
E.
periodOfFictionalSetting
Indicates the time period in which the events of a fictional work are set.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 1, 2026, 1:30 a.m.