Triple
T9404653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Astrologer |
E226554
|
entity |
| Predicate | demandType |
P79829
|
FINISHED |
| Object | personal reward |
—
|
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: personal reward | Statement: [The Astrologer, demandType, personal reward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demandType Context triple: [The Astrologer, demandType, personal reward]
-
A.
demand
Indicates that one entity requests or insists that another entity provide something or perform an action, often with an expectation of compliance.
-
B.
requestType
chosen
Indicates the specific kind or category of request being made in an interaction or transaction.
-
C.
demands
Indicates that one entity insists that another entity provide something or take a specific action, typically with authority or urgency.
-
D.
promptedDemandFor
Indicates that one entity’s action or occurrence caused an increase in demand for another entity.
-
E.
typeOfRequirement
Indicates that one requirement is classified as a specific kind or category of another, more general requirement.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c125dc8190a6438cf0ee23e7a9 |
completed | April 1, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.