Triple
T30520409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durandal |
E776678
|
entity |
| Predicate | attemptedToBeDestroyedBy |
P169811
|
FINISHED |
| Object | Roland |
E121395
|
NE 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: Roland | Statement: [Durandal, attemptedToBeDestroyedBy, Roland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attemptedToBeDestroyedBy Context triple: [Durandal, attemptedToBeDestroyedBy, Roland]
-
A.
destroyedFor
Indicates that one entity was ruined, eliminated, or rendered unusable specifically for the benefit, purpose, or objective of another entity.
-
B.
destroyedDuring
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
C.
possiblyDestroyedIn
Indicates that an entity may have been destroyed during or as a result of a specified event or situation.
-
D.
destroyedInConflictWith
Indicates that one entity was destroyed as a direct result of a conflict or confrontation with another entity.
-
E.
killedBy
Indicates that one entity caused the death of another entity.
- F. None of above. chosen
Provenance (5 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68809fa4c8190b7477043dd360dc2 |
completed | May 2, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2870d643c8819090f3f3ccd11364a5 |
completed | June 9, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:17 p.m.