Triple
T38230662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Case of the Grinning Cat |
E1012277
|
entity |
| Predicate | hasMurderTheme |
P124121
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Case of the Grinning Cat, hasMurderTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMurderTheme Context triple: [The Case of the Grinning Cat, hasMurderTheme, true]
-
A.
hasMurderer
Indicates that one entity is the person who committed the murder of another entity.
-
B.
containsMurderMystery
chosen
Indicates that one entity (such as a work or collection) includes or features a murder mystery as part of its content.
-
C.
hasMurderTrial
Indicates that a person or entity is involved as a subject or party in a murder trial.
-
D.
isMurdered
Indicates that one entity unlawfully kills another entity with intent, resulting in the victim's death.
-
E.
hasMurderVictimCharacter
Indicates that an entity (such as a work of fiction or event) includes or involves a character who is the victim of a murder.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
Created at: May 3, 2026, 4:30 p.m.