Triple
T3786498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission: Impossible III |
E85541
|
entity |
| Predicate | filmSeriesInstallmentNumber |
P51500
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Mission: Impossible III, filmSeriesInstallmentNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesInstallmentNumber Context triple: [Mission: Impossible III, filmSeriesInstallmentNumber, 3]
-
A.
episodeNumberInSeries
Indicates the specific sequential position an episode occupies within its overall series.
-
B.
episodeNumberInSaga
Indicates the position or sequence number that an episode occupies within a larger saga or series storyline.
-
C.
episodeNumberInSeason
Indicates the specific sequential position an episode holds within a particular season of a series.
-
D.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
-
E.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
- F. None of above. chosen
Provenance (4 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
| PDg | Predicate description generation | batch_69aee633dab88190b14cec8afb19ca6a |
completed | March 9, 2026, 3:24 p.m. |
Created at: March 9, 2026, 3:13 p.m.