Triple
T26703332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wardell Pomeroy in Kinsey |
E673218
|
entity |
| Predicate | contributesToInWork |
P104801
|
FINISHED |
| Object | Kinsey’s studies on human sexual behavior |
—
|
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: Kinsey’s studies on human sexual behavior | Statement: [Wardell Pomeroy in Kinsey, contributesToInWork, Kinsey’s studies on human sexual behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributesToInWork Context triple: [Wardell Pomeroy in Kinsey, contributesToInWork, Kinsey’s studies on human sexual behavior]
-
A.
contributionToWork
chosen
Indicates a relationship where an entity has provided effort, input, or resources that help create, develop, or complete a particular work.
-
B.
includedWorkOn
Indicates that one entity contains, features, or incorporates another entity as a work or component within it.
-
C.
hasWorkDedicatedTo
Indicates that one entity has a work (such as a book, artwork, or composition) that is formally dedicated to another entity.
-
D.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
E.
involvedInWork
Indicates that an entity participates in, contributes to, or is otherwise engaged in a particular work, project, or activity.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 3:32 a.m.