Triple
T30690083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapphire & Steel |
E781299
|
entity |
| Predicate | inspiredAudioDramasBy |
P179947
|
FINISHED |
| Object | Big Finish Productions |
—
|
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: Big Finish Productions | Statement: [Sapphire & Steel, inspiredAudioDramasBy, Big Finish Productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredAudioDramasBy Context triple: [Sapphire & Steel, inspiredAudioDramasBy, Big Finish Productions]
-
A.
hasDramatizationOf
Indicates that one work or performance is a dramatized adaptation or representation of another source work or event.
-
B.
animeScriptwriter
Indicates that one entity is the scriptwriter responsible for writing or composing the script of an anime associated with the other entity.
-
C.
dramaticTheme
Indicates that a work, scene, or narrative centers around a particular dramatic subject, motif, or emotional conflict as its main thematic focus.
-
D.
librettoBasedOn
Indicates that the libretto of a musical or operatic work is derived from, adapted from, or otherwise based on another pre-existing work or source.
-
E.
playWrittenBy
Indicates that a particular play was authored or written by a specific person or entity.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 29, 2026, 8:33 p.m.