Triple
T29094145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadly 60 |
E734941
|
entity |
| Predicate | notableAnimalFeatured |
P42281
|
FINISHED |
| Object | great white shark |
—
|
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: great white shark | Statement: [Deadly 60, notableAnimalFeatured, great white shark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAnimalFeatured Context triple: [Deadly 60, notableAnimalFeatured, great white shark]
-
A.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
B.
animalClassFeatured
Indicates that a particular animal class is highlighted or prominently presented in relation to something (such as content, a display, or a context).
-
C.
animalTypeFeatured
chosen
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
D.
animalScientificNameFeatured
Indicates that a particular scientific (taxonomic) name of an animal is highlighted or designated as the primary/featured name in a given context.
-
E.
notableDog
Indicates that the subject is a dog recognized for its significance, fame, or special distinction.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a0245e917748190bf0a65db538aa66f |
completed | May 11, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_6a023f7cf7148190af5c2ea501511145 |
completed | May 11, 2026, 8:43 p.m. |
Created at: April 28, 2026, 11:07 a.m.