Triple
T28738860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman and Harley Quinn |
E730879
|
entity |
| Predicate | plotSummary |
P264
|
FINISHED |
| Object | Batman teams up with Harley Quinn to stop Poison Ivy and Floronic Man from unleashing a global ecological catastrophe |
—
|
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: Batman teams up with Harley Quinn to stop Poison Ivy and Floronic Man from unleashing a global ecological catastrophe | Statement: [Batman and Harley Quinn, plotSummary, Batman teams up with Harley Quinn to stop Poison Ivy and Floronic Man from unleashing a global ecological catastrophe]
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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6576d1f18819099ee8d00516ff93f |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:02 a.m.