Triple
T1526321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homo sapiens |
E32342
|
entity |
| Predicate | cellularOrganization |
P29823
|
FINISHED |
| Object | multicellular |
—
|
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: multicellular | Statement: [Homo sapiens, cellularOrganization, multicellular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellularOrganization Context triple: [Homo sapiens, cellularOrganization, multicellular]
-
A.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
B.
cellDivisionMachinery
Indicates the cellular components and processes that carry out and regulate the physical division of a cell into two daughter cells.
-
C.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
D.
cellWallComponent
Indicates that one entity is a molecular or structural component of the cell wall of the other entity.
-
E.
cellStates
Indicates the various conditions or phases that a cell can be in at a given time.
- F. None of above. chosen
Provenance (4 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a933dce3488190b20f0e3d37d16371 |
completed | March 5, 2026, 7:42 a.m. |
Created at: March 4, 2026, 7:26 p.m.