Triple
T18780165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunlendings |
E459234
|
entity |
| Predicate | resentmentCause |
P61068
|
FINISHED |
| Object | Rohirrim occupation of former Dunlending lands |
—
|
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: Rohirrim occupation of former Dunlending lands | Statement: [Dunlendings, resentmentCause, Rohirrim occupation of former Dunlending lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resentmentCause Context triple: [Dunlendings, resentmentCause, Rohirrim occupation of former Dunlending lands]
-
A.
causeOfVengeance
Indicates a relationship where one entity is the reason or trigger for another entity’s desire or act of vengeance.
-
B.
harborsResentmentToward
Indicates that one entity holds ongoing bitterness, anger, or ill will directed at another entity.
-
C.
hasCauseOfConflict
chosen
Indicates a relationship where one entity is the source or reason for a conflict involving another entity.
-
D.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
-
E.
grievance
Indicates that one entity has a complaint, resentment, or sense of unfair treatment directed toward another entity or situation.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933e35a481908c21f7f488e1dd99 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.