Triple
T37296886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Pup Named Scooby-Doo |
E925828
|
entity |
| Predicate | depictsYoungerVersionOf |
P189531
|
FINISHED |
| Object | Scooby-Doo |
—
|
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: Scooby-Doo | Statement: [A Pup Named Scooby-Doo, depictsYoungerVersionOf, Scooby-Doo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsYoungerVersionOf Context triple: [A Pup Named Scooby-Doo, depictsYoungerVersionOf, Scooby-Doo]
-
A.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
B.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
C.
youngerIncarnationOf
chosen
Indicates that one entity is a later, younger version or incarnation of another entity, representing the same underlying individual or character at a younger point in time.
-
D.
depictsChild
Indicates that one entity visually represents or portrays another entity in the role or state of being a child.
-
E.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:16 p.m.