Triple
T8950782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Tower: The Gunslinger |
E213340
|
entity |
| Predicate | centralQuest |
P85835
|
FINISHED |
| Object | journey to the Dark Tower |
—
|
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: journey to the Dark Tower | Statement: [The Dark Tower: The Gunslinger, centralQuest, journey to the Dark Tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralQuest Context triple: [The Dark Tower: The Gunslinger, centralQuest, journey to the Dark Tower]
-
A.
centralQuestion
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
-
B.
centralMystery
Indicates that something serves as the primary unresolved question or puzzle around which a narrative, situation, or investigation is structured.
-
C.
publicMission
Indicates that an entity carries out a mission or activity intended for the general public or serving public interests.
-
D.
centralRequest
Indicates that an entity serves as the primary or main request within a broader set of related requests or interactions.
-
E.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
- F. None of above. chosen
Provenance (4 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670c7244819084978922a9835bc9 |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 6:59 p.m.