Triple
T29569716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouquet of Barbed Wire (TV series) |
E753268
|
entity |
| Predicate | spinOffOrSequel |
P83962
|
FINISHED |
| Object | Another Bouquet |
—
|
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: Another Bouquet | Statement: [Bouquet of Barbed Wire (TV series), spinOffOrSequel, Another Bouquet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spinOffOrSequel Context triple: [Bouquet of Barbed Wire (TV series), spinOffOrSequel, Another Bouquet]
-
A.
hasSequelDepiction
Indicates that one depiction of something is followed by another depiction that continues its story or sequence.
-
B.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
C.
spinOffMedia
chosen
Indicates that one work or franchise has generated a derivative media product that expands on its characters, setting, or storyline.
-
D.
hasSequelOrRelated
Indicates that one work follows, continues, or is otherwise narratively or thematically related to another work.
-
E.
prequelOrSequelTo
Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d46180881908ff6b2ce3a27b9c0 |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 5:56 p.m.