Triple
T35304567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endgame (Star Trek: Voyager) |
E1019597
|
entity |
| Predicate | portraysPresentYear |
P54917
|
FINISHED |
| Object | 2378 |
—
|
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: 2378 | Statement: [Endgame (Star Trek: Voyager), portraysPresentYear, 2378]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysPresentYear Context triple: [Endgame (Star Trek: Voyager), portraysPresentYear, 2378]
-
A.
yearDepicted
chosen
Indicates the specific year in which the subject is portrayed, represented, or set.
-
B.
portrayalEndYear
Indicates the year in which a particular portrayal of an entity (such as a role, character, or representation) concluded.
-
C.
appearsInYearContext
Indicates that something is associated with, occurs in, or is relevant to a specific year within a temporal context.
-
D.
specifiedYear
Indicates that a particular year has been explicitly designated or identified in relation to the subject.
-
E.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
- 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_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
Created at: May 3, 2026, 4:03 p.m.