Triple
T38427272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danaus plexippus |
E903393
|
entity |
| Predicate | mimickedBy |
P81107
|
FINISHED |
| Object | Limenitis archippus |
—
|
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: Limenitis archippus | Statement: [Danaus plexippus, mimickedBy, Limenitis archippus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mimickedBy Context triple: [Danaus plexippus, mimickedBy, Limenitis archippus]
-
A.
mirroredBy
Indicates that one entity serves as a reflective counterpart or reversed representation of another.
-
B.
emulates
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
-
C.
isModelledAfter
Indicates that one entity is created, designed, or structured based on the form, features, or principles of another entity.
-
D.
canMimic
chosen
Indicates that one entity has the ability to imitate or reproduce the behavior, appearance, or characteristics of another entity.
-
E.
isNonvenomousMimicOf
Indicates that one organism, though nonvenomous, closely resembles a venomous species in appearance or behavior to gain protective advantage.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.