Triple
T22433851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Question of Proof |
E554564
|
entity |
| Predicate | hasInvestigatorType |
P91022
|
FINISHED |
| Object | amateur sleuth |
—
|
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: amateur sleuth | Statement: [A Question of Proof, hasInvestigatorType, amateur sleuth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvestigatorType Context triple: [A Question of Proof, hasInvestigatorType, amateur sleuth]
-
A.
hasResearcherType
chosen
Indicates that an entity is associated with a researcher characterized by a specific type or category of research role.
-
B.
hasInvestigationDomain
Indicates that an investigation or inquiry is focused on, or pertains to, a particular subject area or domain.
-
C.
hasStakeholderType
Indicates that an entity is associated with a stakeholder and specifies the category or role that stakeholder fulfills in relation to the entity.
-
D.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
-
E.
hasKeyResearcher
Indicates that an entity is associated with a primary or leading researcher responsible for key research activities related to it.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adce9688190992ad0ca15883931 |
completed | April 29, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.