Triple
T34319453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nursemaid Who Disappeared |
E880687
|
entity |
| Predicate | hasCentralCrime |
P65441
|
FINISHED |
| Object | kidnapping of a nursemaid |
—
|
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: kidnapping of a nursemaid | Statement: [The Nursemaid Who Disappeared, hasCentralCrime, kidnapping of a nursemaid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralCrime Context triple: [The Nursemaid Who Disappeared, hasCentralCrime, kidnapping of a nursemaid]
-
A.
hasCentralAct
Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
-
B.
hasCrimeScene
Indicates that a particular location or setting is the site where a specific crime occurred or was discovered.
-
C.
hasCrimeElement
chosen
Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
-
D.
hasCrimeInvestigation
Indicates that an entity is the subject of, or associated with, a formal investigation into a crime.
-
E.
handledCrimes
Indicates that an entity (such as a person or organization) took responsibility for dealing with, investigating, or managing specific crimes.
- 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 1, 2026, 1:57 a.m.