Triple
T21717439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cooper Jr. |
E536065
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Skippy |
—
|
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: Skippy | Statement: [John Cooper Jr., notableWork, Skippy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skippy Context triple: [John Cooper Jr., notableWork, Skippy]
-
A.
Skippy
chosen
Skippy is a 1931 American comedy-drama film, based on a popular comic strip, that earned Jackie Cooper an Academy Award nomination as one of Hollywood’s earliest child stars.
-
B.
Skippy
Skippy is a popular American brand best known for its peanut butter products.
-
C.
Skippy (dog)
Skippy was a famous Wire Fox Terrier actor best known for appearing as Asta in the 1930s Thin Man film series.
-
D.
Skully
Skully is a small, talkative green parrot who serves as a lookout and helpful companion to the young pirate crew in the children's animated series "Jake and the Never Land Pirates."
-
E.
Tum-Tum
Tum-Tum is the youngest, food-loving and comedic brother in the Three Ninjas film series, known for his energetic personality and martial arts skills.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96babdc81908226ec043dbe7431 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.