Triple
T31734566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Book |
E809956
|
entity |
| Predicate | centralMysteryType |
P25900
|
FINISHED |
| Object | cold case |
—
|
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: cold case | Statement: [The Black Book, centralMysteryType, cold case]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralMysteryType Context triple: [The Black Book, centralMysteryType, cold case]
-
A.
centralMystery
chosen
Indicates that something serves as the primary unresolved question or puzzle around which a narrative, situation, or investigation is structured.
-
B.
mysteryAssociatedWith
Indicates a relationship where something is connected to, involved in, or characterized by an element of mystery or the unknown.
-
C.
thirdMystery
Indicates a relationship where an entity is associated with the third mystery in a defined ordered set of mysteries (such as stages, secrets, or thematic elements).
-
D.
secondMystery
Indicates a secondary, less obvious or more enigmatic relationship or phenomenon whose nature is not immediately clear or explicitly defined.
-
E.
focusesOnMysteries
Indicates that the subject concentrates attention or effort specifically on mysteries, such as puzzling events, unknown phenomena, or unsolved cases.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 30, 2026, 11:22 p.m.