Triple
T5527583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crimson Circle |
E144957
|
entity |
| Predicate | hasMotiveOfCriminals |
P65261
|
FINISHED |
| Object | financial gain |
—
|
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: financial gain | Statement: [The Crimson Circle, hasMotiveOfCriminals, financial gain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotiveOfCriminals Context triple: [The Crimson Circle, hasMotiveOfCriminals, financial gain]
-
A.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
B.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
-
C.
targetOfCrime
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
-
D.
consideredCriminalBy
Indicates that one party regards or classifies another party as a criminal according to its own laws, rules, or judgments.
-
E.
hasMotiveElement
Indicates that one entity includes, specifies, or is characterized by a particular motive-related component or factor in a broader relationship or action.
- F. None of above. chosen
Provenance (4 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8a34a48190bcbd0036f79246a9 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:34 p.m.