Triple
T30715245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal Minds: Beyond Borders |
E782005
|
entity |
| Predicate | characterLaterAppearsIn |
P41450
|
FINISHED |
| Object | Criminal Minds |
—
|
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: Criminal Minds | Statement: [Criminal Minds: Beyond Borders, characterLaterAppearsIn, Criminal Minds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterLaterAppearsIn Context triple: [Criminal Minds: Beyond Borders, characterLaterAppearsIn, Criminal Minds]
-
A.
characterAppearsIn
Indicates that a specific character is present or featured within a particular work, such as a book, movie, or episode.
-
B.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
-
C.
characterPreviouslyUnseenIn
Indicates that a character has not appeared or been mentioned in the specified context, work, or segment prior to that point.
-
D.
laterAppearancesIn
chosen
Indicates that one entity makes additional or subsequent appearances in relation to another entity after an initial occurrence.
-
E.
leadCharacterPreviouslyAppearedIn
Indicates that the lead character of the current work has appeared before in a prior work or context.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 29, 2026, 8:35 p.m.