Triple
T35154423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wonder Pets! |
E1015078
|
entity |
| Predicate | hasTagline |
P7688
|
FINISHED |
| Object | "We're not too big, and we're not too tough, but when we work together, we've got the right stuff!" |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: "We're not too big, and we're not too tough, but when we work together, we've got the right stuff!" | Statement: [The Wonder Pets!, hasTagline, "We're not too big, and we're not too tough, but when we work together, we've got the right stuff!"]
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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cf0cfdc81908da6f605f6988e8e |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:02 p.m.