Triple
T13008286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodstock |
E322342
|
entity |
| Predicate | oftenPerchesOn |
P75263
|
FINISHED |
| Object | Snoopy's head |
—
|
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: Snoopy's head | Statement: [Woodstock, oftenPerchesOn, Snoopy's head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenPerchesOn Context triple: [Woodstock, oftenPerchesOn, Snoopy's head]
-
A.
hasPerchDepicted
Indicates that a perch (such as a resting place or support for an animal or object) is visually represented or shown in association with the subject.
-
B.
perchingSite
chosen
Indicates a location or object where an entity (typically an animal, such as a bird) rests or sits temporarily.
-
C.
breedsIn
Indicates that an organism reproduces or carries out its breeding activities within a specified environment, habitat, or location.
-
D.
areArboreal
Indicates that the subject lives primarily in trees or spends most of its life in an arboreal environment.
-
E.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9cf0108190b02f498c6ccc91f8 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:48 p.m.