Triple
T32955981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Trax |
E843100
|
entity |
| Predicate | mainCharacterOriginTime |
P89826
|
FINISHED |
| Object | 22nd century |
—
|
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: 22nd century | Statement: [Time Trax, mainCharacterOriginTime, 22nd century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterOriginTime Context triple: [Time Trax, mainCharacterOriginTime, 22nd century]
-
A.
protagonistOriginTime
chosen
Indicates the point in time at which the protagonist first comes into existence or begins their story.
-
B.
originOfCharacter
Indicates the source or place from which a character originates or is created.
-
C.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
D.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
E.
characterStatusInOriginalTimeline
Indicates the state or condition a character has within the original, unaltered timeline of events.
- 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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 1, 2026, 1:21 a.m.