Triple
T37513829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durance of Hate |
E932579
|
entity |
| Predicate | questAssociated |
P43670
|
FINISHED |
| Object | The Guardian |
—
|
NE NERFINISHED |
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: The Guardian | Statement: [Durance of Hate, questAssociated, The Guardian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questAssociated Context triple: [Durance of Hate, questAssociated, The Guardian]
-
A.
questInvolvedIn
chosen
Indicates that an entity participates in, is associated with, or plays a role in a particular quest or mission.
-
B.
questType
Indicates the specific category or nature of a quest that characterizes what kind of mission or objective it represents.
-
C.
questGiverIn
Indicates that an entity serves as the quest giver within a specified quest, location, or context.
-
D.
questContent
Indicates that one entity is the content, objective, or narrative substance of a quest associated with another entity.
-
E.
questAssigned
Indicates that a quest has been given by one entity to another, establishing an assignment relationship between them.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:17 p.m.