Triple
T25188538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Cale |
E630793
|
entity |
| Predicate | seriesStructureRole |
P69568
|
FINISHED |
| Object | recurring anchor character across standalone cases |
—
|
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: recurring anchor character across standalone cases | Statement: [Charlie Cale, seriesStructureRole, recurring anchor character across standalone cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesStructureRole Context triple: [Charlie Cale, seriesStructureRole, recurring anchor character across standalone cases]
-
A.
seriesStructure
Indicates how parts or installments are organized and related within a larger series or sequence.
-
B.
seriesRole
chosen
Indicates the specific role or function an entity has within a series or sequence of related items.
-
C.
hasStructureRole
Indicates that an entity serves a specific functional or positional role within a larger structure or organizational arrangement.
-
D.
dramaticStructureRole
Indicates the specific function or role an element plays within the overall dramatic structure of a narrative or performance.
-
E.
operaStructureRole
Indicates the functional or narrative role that a structural element plays within an opera.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 12:44 p.m.