Triple
T11049255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Déagol |
E261203
|
entity |
| Predicate | motiveOfKiller |
P34163
|
FINISHED |
| Object | desire for 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: desire for the One Ring | Statement: [Déagol, motiveOfKiller, desire for the One Ring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motiveOfKiller Context triple: [Déagol, motiveOfKiller, desire for the One Ring]
-
A.
reasonForMurder
chosen
Indicates the motive or underlying cause that led someone to commit a murder.
-
B.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
C.
murderVictimOf
Indicates that one entity is the person who was killed by another entity in an act of murder.
-
D.
featuresMurderInvestigation
Indicates that the subject involves or includes a murder investigation as a central element or storyline.
-
E.
targetOfCrime
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
- 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.