Triple
T36413109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year with the Yeti |
E896933
|
entity |
| Predicate | creatureTypeFeatured |
P83317
|
FINISHED |
| Object | Yeti |
—
|
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: Yeti | Statement: [Year with the Yeti, creatureTypeFeatured, Yeti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatureTypeFeatured Context triple: [Year with the Yeti, creatureTypeFeatured, Yeti]
-
A.
animalClassFeatured
Indicates that a particular animal class is highlighted or prominently presented in relation to something (such as content, a display, or a context).
-
B.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
C.
featuresMonster
Indicates that something includes or prominently presents a monster as part of its content or composition.
-
D.
featuresCreatureOrLegend
chosen
Indicates that something includes, depicts, or prominently involves a particular creature or legendary being.
-
E.
animalScientificNameFeatured
Indicates that a particular scientific (taxonomic) name of an animal is highlighted or designated as the primary/featured name in a given context.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: May 3, 2026, 4:10 p.m.