Triple
T35490234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unification War |
E1025712
|
entity |
| Predicate | timeRelativeToFilm |
P133182
|
FINISHED |
| Object | occurs years before events of Serenity (2005 film) |
—
|
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: occurs years before events of Serenity (2005 film) | Statement: [Unification War, timeRelativeToFilm, occurs years before events of Serenity (2005 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeRelativeToFilm Context triple: [Unification War, timeRelativeToFilm, occurs years before events of Serenity (2005 film)]
-
A.
settingTimeRelativeToFilms
chosen
Indicates the temporal relationship of one film’s setting relative to the settings of other films (e.g., earlier, later, or at the same time).
-
B.
timePeriodOfFilm
Indicates the historical or fictional time period in which the events of the film are set.
-
C.
filmLocationTime
Indicates that a film was shot at a particular location during a specific time or time period.
-
D.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
E.
startTimeRelativeToGame
Indicates the time at which an event or action occurs, expressed relative to the start time of the game rather than as an absolute timestamp.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.