Triple
T11049343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cracks of Doom |
E261205
|
entity |
| Predicate | sceneOfEvent |
P20834
|
FINISHED |
| Object | destruction of the One Ring |
—
|
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: destruction of the One Ring | Statement: [Cracks of Doom, sceneOfEvent, destruction of the One Ring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneOfEvent Context triple: [Cracks of Doom, sceneOfEvent, destruction of the One Ring]
-
A.
placeOfShooting
Indicates the location where a shooting event took place.
-
B.
sceneLabel
Indicates the categorical label or type assigned to an entire scene based on its overall content or context.
-
C.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
D.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
E.
placeOfSetting
chosen
Indicates the location or environment where an event, scene, or situation takes place.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79867fa28819094f564273e3ef51d |
completed | April 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.