Triple
T37129003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puppy Co. |
E919466
|
entity |
| Predicate | schemeDescription |
P187172
|
FINISHED |
| Object | plans to release an eternally cute puppy |
—
|
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: plans to release an eternally cute puppy | Statement: [Puppy Co., schemeDescription, plans to release an eternally cute puppy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schemeDescription Context triple: [Puppy Co., schemeDescription, plans to release an eternally cute puppy]
-
A.
schemeType
Indicates the classification or category of a scheme that an entity is associated with or operates under.
-
B.
scriptDescription
Indicates that a script provides a textual explanation or summary describing its content, purpose, or behavior.
-
C.
symbolDescription
Indicates that a symbol is associated with or defined by a particular descriptive explanation or meaning.
-
D.
unitDescription
Indicates that a textual description is provided explaining the characteristics or details of a unit.
-
E.
schemeDiscovery
Indicates that an entity discovers, identifies, or uncovers a particular scheme, plan, or structured method.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.