Triple
T12759594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Courier’s Tragedy |
E304955
|
entity |
| Predicate | roleInTheCryingOfLot49 |
P15535
|
FINISHED |
| Object | deepens themes of conspiracy |
—
|
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: deepens themes of conspiracy | Statement: [The Courier’s Tragedy, roleInTheCryingOfLot49, deepens themes of conspiracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTheCryingOfLot49 Context triple: [The Courier’s Tragedy, roleInTheCryingOfLot49, deepens themes of conspiracy]
-
A.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
-
B.
literaryRole
chosen
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
C.
roleInStories
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
roleInTheory
Indicates the specific function, position, or contribution that an entity has within a particular theory or theoretical framework.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8d3eb08190ae998df5cc6d9ba6 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.