Triple
T33362282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green fluorescent protein |
E854252
|
entity |
| Predicate | hasMutant |
P78759
|
FINISHED |
| Object | enhanced GFP |
—
|
NE NERFINISHED |
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: enhanced GFP | Statement: [Green fluorescent protein, hasMutant, enhanced GFP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMutant Context triple: [Green fluorescent protein, hasMutant, enhanced GFP]
-
A.
hasMutationSystem
Indicates that one entity possesses or employs a particular mutation system or mechanism for generating or managing mutations.
-
B.
hasGene
Indicates that an entity possesses or contains a specific gene as part of its genetic makeup.
-
C.
hasGeneticMechanism
Indicates that one entity possesses or involves a specific genetic process or mechanism responsible for a trait, function, or effect in another entity.
-
D.
hasAllele
chosen
Indicates that a biological entity possesses or carries a specific allele variant of a gene.
-
E.
hasMC
Indicates that an entity has, features, or is associated with a main character (MC).
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 1, 2026, 1:34 a.m.