Triple
T29370734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyd Stevens |
E744845
|
entity |
| Predicate | seriesPremiseContext |
P132705
|
FINISHED |
| Object | town traps all who enter and prevents escape |
—
|
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: town traps all who enter and prevents escape | Statement: [Boyd Stevens, seriesPremiseContext, town traps all who enter and prevents escape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesPremiseContext Context triple: [Boyd Stevens, seriesPremiseContext, town traps all who enter and prevents escape]
-
A.
seriesPremiseConnection
chosen
Indicates a relationship where a premise, concept, or foundational idea is connected to and underlies an entire series (such as a book, film, or TV series).
-
B.
seriesContext
Indicates that one entity occurs within, belongs to, or is understood in relation to a broader series or sequence involving the other entity.
-
C.
seriesDescriptor
Indicates that an entity serves as a descriptive or identifying label for a series to which another entity belongs.
-
D.
seriesStructure
Indicates how parts or installments are organized and related within a larger series or sequence.
-
E.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 2:26 p.m.