Triple
T17146749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rynchops the black skimmer |
E416108
|
entity |
| Predicate | associatedWithAuthorProfession |
P35215
|
FINISHED |
| Object | marine biologist |
—
|
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: marine biologist | Statement: [Rynchops the black skimmer, associatedWithAuthorProfession, marine biologist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorProfession Context triple: [Rynchops the black skimmer, associatedWithAuthorProfession, marine biologist]
-
A.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
B.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
-
C.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
-
D.
isAssociatedWithProfessionOfBearer
chosen
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
E.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2db20d48190b5d69ccf89f3bc42 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.