Triple
T23529880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Venable |
E576532
|
entity |
| Predicate | informationSourceInPlay |
P140061
|
FINISHED |
| Object | Catherine Holly’s monologue |
—
|
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: Catherine Holly’s monologue | Statement: [Sebastian Venable, informationSourceInPlay, Catherine Holly’s monologue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: informationSourceInPlay Context triple: [Sebastian Venable, informationSourceInPlay, Catherine Holly’s monologue]
-
A.
usesInformationSources
Indicates that an entity relies on or consults specified information sources to perform actions, make decisions, or obtain knowledge.
-
B.
intelligenceSource
Indicates that one entity serves as the origin or provider of intelligence information for another entity.
-
C.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
D.
knowledgeSourceInStory
chosen
Indicates that a particular source or origin of information is referenced or used within the context of a story.
-
E.
knowledgeSourceInUniverse
Indicates that a particular source or repository of knowledge exists or is valid within a specified universe or contextual domain.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7646a48190b5dcbaf8c0c194df |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.