Triple
T35304566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endgame (Star Trek: Voyager) |
E1019597
|
entity |
| Predicate | portraysFutureYear |
P142107
|
FINISHED |
| Object | 2404 |
—
|
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: 2404 | Statement: [Endgame (Star Trek: Voyager), portraysFutureYear, 2404]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysFutureYear Context triple: [Endgame (Star Trek: Voyager), portraysFutureYear, 2404]
-
A.
portraysFutureChildOf
Indicates that one entity is depicted or represented as the future child or offspring of another entity.
-
B.
futureSocietyDepiction
chosen
Indicates a depiction or representation of a society that exists in the future relative to the time of reference.
-
C.
nextYear
Indicates that one time point occurs in the calendar year immediately following another time point.
-
D.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
E.
portrayalEndYear
Indicates the year in which a particular portrayal of an entity (such as a role, character, or representation) concluded.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: May 3, 2026, 4:03 p.m.