Triple
T21303341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael J. Hurley |
E525124
|
entity |
| Predicate | nameIsUsedInField |
P13305
|
FINISHED |
| Object | politics |
—
|
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: politics | Statement: [Michael J. Hurley, nameIsUsedInField, politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameIsUsedInField Context triple: [Michael J. Hurley, nameIsUsedInField, politics]
-
A.
nameUsedBy
Indicates that a particular name is employed or referenced by a specific entity.
-
B.
nameUsedIn
chosen
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
C.
inSameFieldAs
Indicates that two entities work, study, or specialize within the same professional or academic field.
-
D.
hasNameInFormula
Indicates that an entity is referred to by a specific name or symbol within a formula or formal expression.
-
E.
hasFieldName
Indicates that one entity is associated with, or identified by, a specific field name in a data structure or schema.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385da340819083c07f353f2142b0 |
completed | April 21, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:05 p.m.