Triple
T35490711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wunderpus octopus |
E1025723
|
entity |
| Predicate | mimicry |
P81107
|
FINISHED |
| Object | can mimic flatfish-like shapes |
—
|
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: can mimic flatfish-like shapes | Statement: [wunderpus octopus, mimicry, can mimic flatfish-like shapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mimicry Context triple: [wunderpus octopus, mimicry, can mimic flatfish-like shapes]
-
A.
eggMimicry
Indicates that one entity’s eggs resemble those of another species closely enough to deceive the other species or its predators.
-
B.
emulates
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
-
C.
canMimic
chosen
Indicates that one entity has the ability to imitate or reproduce the behavior, appearance, or characteristics of another entity.
-
D.
unknowinglyImpersonates
Indicates that one entity is impersonating another without being aware that they are doing so.
-
E.
resembles
Indicates that one entity is similar in appearance, form, or characteristics to another.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.