Triple
T37971493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: Robots in Disguise (2015 TV series) |
E947297
|
entity |
| Predicate | featuresElement |
P1840
|
FINISHED |
| Object | robot characters that transform into vehicles |
—
|
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: robot characters that transform into vehicles | Statement: [Transformers: Robots in Disguise (2015 TV series), featuresElement, robot characters that transform into vehicles]
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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbdfbb0748190b6df603be816c99a |
completed | May 6, 2026, 10:17 p.m. |
Created at: May 3, 2026, 4:20 p.m.