Triple
T27810478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystic Manor |
E702504
|
entity |
| Predicate | reasonForDifference |
P179205
|
FINISHED |
| Object | cultural sensitivities about ghosts in Chinese culture |
—
|
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: cultural sensitivities about ghosts in Chinese culture | Statement: [Mystic Manor, reasonForDifference, cultural sensitivities about ghosts in Chinese culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForDifference Context triple: [Mystic Manor, reasonForDifference, cultural sensitivities about ghosts in Chinese culture]
-
A.
reasonForChange
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
B.
differenceDescription
Indicates a textual explanation that characterizes how two entities differ from each other.
-
C.
reasonForConflict
Indicates that one entity is the cause, motive, or underlying issue leading to a conflict involving another entity.
-
D.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
E.
designDifferenceFrom
Indicates a relationship where one design is distinguished from another by specific differing features, characteristics, 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 27, 2026, 5:42 p.m.