Triple
T14891691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George C. Chapman |
E359766
|
entity |
| Predicate | primaryResearchPopulation |
P17586
|
FINISHED |
| Object | American women |
—
|
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: American women | Statement: [George C. Chapman, primaryResearchPopulation, American women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResearchPopulation Context triple: [George C. Chapman, primaryResearchPopulation, American women]
-
A.
targetedPopulation
chosen
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
-
B.
primaryResearchLibraryFor
Indicates that one entity serves as the main or principal research library resource for another entity.
-
C.
primarySurveyArea
Indicates that a specified area is the main or principal region targeted or covered by a particular survey or data collection activity.
-
D.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
E.
populationBasis
Indicates that a population measurement is based on, derived from, or defined with respect to a particular reference, criterion, or underlying basis.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 2:10 a.m.