Triple
T29083273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I am Groot" |
E734034
|
entity |
| Predicate | semanticProperty |
P166543
|
FINISHED |
| Object | has many different meanings depending on context |
—
|
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: has many different meanings depending on context | Statement: ["I am Groot", semanticProperty, has many different meanings depending on context]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semanticProperty Context triple: ["I am Groot", semanticProperty, has many different meanings depending on context]
-
A.
semanticType
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
-
B.
metaProperty
Indicates that one property functions as a higher-level descriptor or attribute about another property, rather than about an entity directly.
-
C.
artifactProperty
Indicates that an artifact possesses a specific property, characteristic, or attribute.
-
D.
recognizedFormOfProperty
Indicates that one entity is acknowledged or accepted as a valid or official form, variant, or representation of a particular property associated with another entity.
-
E.
typicalProperty
Indicates that a certain property is characteristically or commonly associated with an entity, reflecting what is typical for that entity.
- F. None of above. chosen
Provenance (4 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 10:57 a.m.