Triple
T2553865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microcosmos |
E56687
|
entity |
| Predicate | coAuthorRoleOfLynnMargulis |
P15464
|
FINISHED |
| Object | 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: biologist | Statement: [Microcosmos, coAuthorRoleOfLynnMargulis, biologist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coAuthorRoleOfLynnMargulis Context triple: [Microcosmos, coAuthorRoleOfLynnMargulis, biologist]
-
A.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
B.
involvedScientist
Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
-
C.
cofounderOf
Indicates that a person jointly established or created an organization, company, or project with one or more other founders.
-
D.
roleInNobelPrize
Indicates the specific capacity or function an entity had in relation to a particular Nobel Prize (e.g., laureate, nominee, organization, or associated role).
-
E.
notableWorkRole
chosen
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.