Triple
T1982529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminator |
E43058
|
entity |
| Predicate | hasComicBookAdaptations |
P1926
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Terminator, hasComicBookAdaptations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComicBookAdaptations Context triple: [Terminator, hasComicBookAdaptations, yes]
-
A.
hasMediaFranchise
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
-
B.
hasComicSeries
Indicates that one entity is the comic series to which another entity belongs or with which it is associated.
-
C.
adaptedAs
chosen
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
-
D.
notableAdaptation
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
E.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.