Triple
T33350038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Kittridge |
E853908
|
entity |
| Predicate | filmSeriesReturn |
P176527
|
FINISHED |
| Object | Mission: Impossible – Dead Reckoning Part One |
—
|
NE NERFINISHED |
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: Mission: Impossible – Dead Reckoning Part One | Statement: [Eugene Kittridge, filmSeriesReturn, Mission: Impossible – Dead Reckoning Part One]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesReturn Context triple: [Eugene Kittridge, filmSeriesReturn, Mission: Impossible – Dead Reckoning Part One]
-
A.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
B.
filmSeriesRelation
Indicates a relationship where one film is part of, belongs to, or is connected within a larger film series or franchise.
-
C.
filmSeriesProtagonistOf
Indicates that a character serves as the main recurring protagonist of a particular film series.
-
D.
filmSeriesCount
Indicates the number of films that belong to a particular film series.
-
E.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:34 a.m.